Common Weakness Enumeration
CWE-94
Allowed-with-ReviewImproper Control of Generation of Code ('Code Injection')
Abstraction: Base · Status: Draft
The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment.
8272 vulnerabilities reference this CWE, most recent first.
CVE-2026-41692 (GCVE-0-2026-41692)
Vulnerability from cvelistv5 – Published: 2026-05-07 20:01 – Updated: 2026-05-11 18:04
VLAI
EPSS
VEX
Title
i18nextify is vulnerable to DOM XSS via javascript:/data: URL schemes in translated href/src attributes
Summary
i18nextify is a JavaScript library that adds website internationalization via a script tag, without source code changes. Versions prior to 4.0.8 substitute {{key}} interpolation tokens inside src and href attribute values with the raw string returned by i18next.t(). The substitution logic in src/localize.js (the replaceInside handler) only guards against a duplicated http:// origin prefix — it does not validate the URL scheme of the substituted value. A translated value such as javascript:alert(1) or data:text/html,<script>...</script> is applied unchanged to the live DOM attribute when an attacker can influence the content of a translation file or the translation-backend response — for example, via a compromised translation CDN, user-contributed locales, a MITM on a plain-HTTP backend, or write access to the translation JSON. This issue was patched in version 4.0.8.
Severity
4.7 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/i18next/i18nextify/security/ad… | x_refsource_CONFIRM |
| https://github.com/i18next/i18nextify/commit/16f2… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| i18next | i18nextify |
Affected:
< 4.0.8
|
{
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2026-41692",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "no"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-05-11T18:03:40.834025Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-05-11T18:04:43.650Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "i18nextify",
"vendor": "i18next",
"versions": [
{
"status": "affected",
"version": "\u003c 4.0.8"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "i18nextify is a JavaScript library that adds website internationalization via a script tag, without source code changes. Versions prior to 4.0.8 substitute {{key}} interpolation tokens inside src and href attribute values with the raw string returned by i18next.t(). The substitution logic in src/localize.js (the replaceInside handler) only guards against a duplicated http:// origin prefix \u2014 it does not validate the URL scheme of the substituted value. A translated value such as javascript:alert(1) or data:text/html,\u003cscript\u003e...\u003c/script\u003e is applied unchanged to the live DOM attribute when an attacker can influence the content of a translation file or the translation-backend response \u2014 for example, via a compromised translation CDN, user-contributed locales, a MITM on a plain-HTTP backend, or write access to the translation JSON. This issue was patched in version 4.0.8."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.7,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:C/C:L/I:L/A:N",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-79",
"description": "CWE-79: Improper Neutralization of Input During Web Page Generation (\u0027Cross-site Scripting\u0027)",
"lang": "en",
"type": "CWE"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-94",
"description": "CWE-94: Improper Control of Generation of Code (\u0027Code Injection\u0027)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-05-07T20:01:59.272Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/i18next/i18nextify/security/advisories/GHSA-6457-mxpq-4fqq",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/i18next/i18nextify/security/advisories/GHSA-6457-mxpq-4fqq"
},
{
"name": "https://github.com/i18next/i18nextify/commit/16f23dbcdcf893673587f7a03355bf7ce0a0e49e",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/i18next/i18nextify/commit/16f23dbcdcf893673587f7a03355bf7ce0a0e49e"
}
],
"source": {
"advisory": "GHSA-6457-mxpq-4fqq",
"discovery": "UNKNOWN"
},
"title": "i18nextify is vulnerable to DOM XSS via javascript:/data: URL schemes in translated href/src attributes"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-41692",
"datePublished": "2026-05-07T20:01:59.272Z",
"dateReserved": "2026-04-22T03:53:24.407Z",
"dateUpdated": "2026-05-11T18:04:43.650Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
CVE-2026-41645 (GCVE-0-2026-41645)
Vulnerability from cvelistv5 – Published: 2026-05-08 03:17 – Updated: 2026-05-11 18:16
VLAI
EPSS
VEX
Title
Nuclei: Environment variable disclosure via Response-Derived DSL Expressions
Summary
Nuclei is a vulnerability scanner built on a simple YAML-based DSL. From version 3.0.0 to before version 3.8.0, a vulnerability in Nuclei's expression evaluation engine makes it possible for a malicious target server to inject and execute supported DSL expressions. This happens when HTTP response data containing helper/function syntax gets reused by multi-step templates. If the -env-vars / -ev option is explicitly enabled, this can expose host environment variables. That option is off by default, so standard configurations are not affected by the information disclosure risk. This issue has been patched in version 3.8.0.
Severity
5.3 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://github.com/projectdiscovery/nuclei/securi… | x_refsource_CONFIRM |
| https://github.com/projectdiscovery/nuclei/pull/7221 | x_refsource_MISC |
| https://github.com/projectdiscovery/nuclei/pull/7321 | x_refsource_MISC |
| https://github.com/projectdiscovery/nuclei/commit… | x_refsource_MISC |
| https://github.com/projectdiscovery/nuclei/commit… | x_refsource_MISC |
| https://github.com/projectdiscovery/nuclei/releas… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| projectdiscovery | nuclei |
Affected:
>= 3.0.0, < 3.8.0
|
{
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2026-41645",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "no"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-05-11T18:15:43.322968Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-05-11T18:16:02.582Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "nuclei",
"vendor": "projectdiscovery",
"versions": [
{
"status": "affected",
"version": "\u003e= 3.0.0, \u003c 3.8.0"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Nuclei is a vulnerability scanner built on a simple YAML-based DSL. From version 3.0.0 to before version 3.8.0, a vulnerability in Nuclei\u0027s expression evaluation engine makes it possible for a malicious target server to inject and execute supported DSL expressions. This happens when HTTP response data containing helper/function syntax gets reused by multi-step templates. If the -env-vars / -ev option is explicitly enabled, this can expose host environment variables. That option is off by default, so standard configurations are not affected by the information disclosure risk. This issue has been patched in version 3.8.0."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:N/A:N",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-94",
"description": "CWE-94: Improper Control of Generation of Code (\u0027Code Injection\u0027)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-05-08T03:17:19.302Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/projectdiscovery/nuclei/security/advisories/GHSA-jm34-66cf-qpvr",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/projectdiscovery/nuclei/security/advisories/GHSA-jm34-66cf-qpvr"
},
{
"name": "https://github.com/projectdiscovery/nuclei/pull/7221",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/projectdiscovery/nuclei/pull/7221"
},
{
"name": "https://github.com/projectdiscovery/nuclei/pull/7321",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/projectdiscovery/nuclei/pull/7321"
},
{
"name": "https://github.com/projectdiscovery/nuclei/commit/6c803c74d193f85f8a6d9803ce493fd302cad0eb",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/projectdiscovery/nuclei/commit/6c803c74d193f85f8a6d9803ce493fd302cad0eb"
},
{
"name": "https://github.com/projectdiscovery/nuclei/commit/d2217320162d5782ca7cb95bef9dda17063818f3",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/projectdiscovery/nuclei/commit/d2217320162d5782ca7cb95bef9dda17063818f3"
},
{
"name": "https://github.com/projectdiscovery/nuclei/releases/tag/v3.8.0",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/projectdiscovery/nuclei/releases/tag/v3.8.0"
}
],
"source": {
"advisory": "GHSA-jm34-66cf-qpvr",
"discovery": "UNKNOWN"
},
"title": "Nuclei: Environment variable disclosure via Response-Derived DSL Expressions"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-41645",
"datePublished": "2026-05-08T03:17:19.302Z",
"dateReserved": "2026-04-21T23:58:43.802Z",
"dateUpdated": "2026-05-11T18:16:02.582Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
CVE-2026-41523 (GCVE-0-2026-41523)
Vulnerability from cvelistv5 – Published: 2026-06-22 22:18 – Updated: 2026-07-15 00:59
VLAI
EPSS
VEX
Title
vLLM: Security Check Bypass via assert Statement in Activation Function Loading Allows Arbitrary Code Execution
Summary
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.0, an assert-based security check in vLLM's activation function loading allows any unauthenticated attacker to achieve arbitrary code execution on the server by publishing a malicious HuggingFace model, when vLLM runs in Python optimized mode (python -O or PYTHONOPTIMIZE=1). This vulnerability is fixed in 0.22.0.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
Assigner
References
8 references
| URL | Tags |
|---|---|
| https://github.com/vllm-project/vllm/security/adv… | x_refsource_CONFIRM |
| https://github.com/vllm-project/vllm/commit/b3c7f… | x_refsource_MISC |
| https://huntr.com/bounties/dcb05b04-e625-41e7-adb… | x_refsource_MISC |
| https://access.redhat.com/security/cve/CVE-2026-41523 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2491582 | issue-trackingx_refsource_REDHAT |
| https://security.access.redhat.com/data/csaf/v2/v… | x_sadp-csaf-vex |
| https://access.redhat.com/errata/RHSA-2026:36005 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:36006 | vendor-advisoryx_refsource_REDHAT |
Impacted products
6 products
| Vendor | Product | Version | |
|---|---|---|---|
| vllm-project | vllm |
Affected:
< 0.22.0
|
|
| Red Hat | Red Hat AI Inference Server 3.2 |
Unaffected:
1782951012 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.2::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.2 |
Unaffected:
1782951244 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.2::el9 |
|
| Red Hat | Red Hat AI Inference Server |
cpe:/a:redhat:ai_inference_server:3 |
|
| Red Hat | Red Hat Enterprise Linux AI (RHEL AI) 3 |
cpe:/a:redhat:enterprise_linux_ai:3 |
|
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai |
{
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2026-41523",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "no"
},
{
"Technical Impact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-06-23T12:23:15.308986Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-06-23T12:23:42.580Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
},
{
"affected": [
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:ai_inference_server:3.2::el9"
],
"defaultStatus": "affected",
"packageName": "rhaiis/vllm-cuda-rhel9",
"product": "Red Hat AI Inference Server 3.2",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1782951012",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:ai_inference_server:3.2::el9"
],
"defaultStatus": "affected",
"packageName": "rhaiis/vllm-rocm-rhel9",
"product": "Red Hat AI Inference Server 3.2",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1782951244",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:ai_inference_server:3"
],
"defaultStatus": "unaffected",
"packageName": "rhaiis/vllm-cpu-rhel9",
"product": "Red Hat AI Inference Server",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:ai_inference_server:3"
],
"defaultStatus": "unaffected",
"packageName": "rhaiis/vllm-neuron-rhel9",
"product": "Red Hat AI Inference Server",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:ai_inference_server:3"
],
"defaultStatus": "unaffected",
"packageName": "rhaiis/vllm-spyre-rhel9",
"product": "Red Hat AI Inference Server",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:ai_inference_server:3"
],
"defaultStatus": "unaffected",
"packageName": "rhaiis/vllm-tpu-rhel9",
"product": "Red Hat AI Inference Server",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:ai_inference_server:3"
],
"defaultStatus": "affected",
"packageName": "rhaii/vllm-cpu-rhel9",
"product": "Red Hat AI Inference Server",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:ai_inference_server:3"
],
"defaultStatus": "affected",
"packageName": "rhaii/vllm-gaudi-rhel9",
"product": "Red Hat AI Inference Server",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:ai_inference_server:3"
],
"defaultStatus": "unaffected",
"packageName": "rhaii/vllm-neuron-rhel9",
"product": "Red Hat AI Inference Server",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:ai_inference_server:3"
],
"defaultStatus": "affected",
"packageName": "rhaii/vllm-spyre-rhel9",
"product": "Red Hat AI Inference Server",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:ai_inference_server:3"
],
"defaultStatus": "unaffected",
"packageName": "rhaii/vllm-tpu-rhel9",
"product": "Red Hat AI Inference Server",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:enterprise_linux_ai:3"
],
"defaultStatus": "affected",
"packageName": "rhelai3/bootc-aws-cuda-rhel9",
"product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:enterprise_linux_ai:3"
],
"defaultStatus": "affected",
"packageName": "rhelai3/bootc-azure-cuda-rhel9",
"product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:enterprise_linux_ai:3"
],
"defaultStatus": "affected",
"packageName": "rhelai3/bootc-azure-rocm-rhel9",
"product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:enterprise_linux_ai:3"
],
"defaultStatus": "affected",
"packageName": "rhelai3/bootc-cuda-rhel9",
"product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:enterprise_linux_ai:3"
],
"defaultStatus": "affected",
"packageName": "rhelai3/bootc-gaudi-rhel9",
"product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:enterprise_linux_ai:3"
],
"defaultStatus": "affected",
"packageName": "rhelai3/bootc-gcp-cuda-rhel9",
"product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:enterprise_linux_ai:3"
],
"defaultStatus": "affected",
"packageName": "rhelai3/bootc-rocm-rhel9",
"product": "Red Hat Enterprise Linux AI (RHEL AI) 3",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:openshift_ai"
],
"defaultStatus": "unaffected",
"packageName": "rhoai/odh-kserve-agent-rhel9",
"product": "Red Hat OpenShift AI (RHOAI)",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:openshift_ai"
],
"defaultStatus": "unaffected",
"packageName": "rhoai/odh-kserve-controller-rhel9",
"product": "Red Hat OpenShift AI (RHOAI)",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:openshift_ai"
],
"defaultStatus": "unaffected",
"packageName": "rhoai/odh-kserve-router-rhel9",
"product": "Red Hat OpenShift AI (RHOAI)",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:openshift_ai"
],
"defaultStatus": "unaffected",
"packageName": "rhoai/odh-kserve-storage-initializer-rhel9",
"product": "Red Hat OpenShift AI (RHOAI)",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:openshift_ai"
],
"defaultStatus": "unaffected",
"packageName": "rhoai/odh-llm-d-kv-cache-rhel9",
"product": "Red Hat OpenShift AI (RHOAI)",
"vendor": "Red Hat"
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:openshift_ai"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-vllm-gaudi-rhel9",
"product": "Red Hat OpenShift AI (RHOAI)",
"vendor": "Red Hat"
}
],
"datePublic": "2026-06-22T22:18:14.494Z",
"descriptions": [
{
"lang": "en",
"value": "A flaw was found in vLLM, an inference and serving engine for large language models (LLMs). An unauthenticated attacker can exploit an assert-based security check during activation function loading. By publishing a malicious HuggingFace model, an attacker can achieve arbitrary code execution on the server when vLLM runs in Python optimized mode."
}
],
"metrics": [
{
"other": {
"content": {
"namespace": "https://access.redhat.com/security/updates/classification/",
"value": "Important"
},
"type": "Red Hat severity rating"
}
},
{
"cvssV3_1": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"format": "CVSS"
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-617",
"description": "Reachable Assertion",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-07-15T00:59:18.930Z",
"orgId": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
"shortName": "redhat-SADP"
},
"references": [
{
"tags": [
"vdb-entry",
"x_refsource_REDHAT"
],
"url": "https://access.redhat.com/security/cve/CVE-2026-41523"
},
{
"name": "RHBZ#2491582",
"tags": [
"issue-tracking",
"x_refsource_REDHAT"
],
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2491582"
},
{
"tags": [
"x_sadp-csaf-vex"
],
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-41523.json"
},
{
"tags": [
"vendor-advisory",
"x_refsource_REDHAT"
],
"url": "https://access.redhat.com/errata/RHSA-2026:36005"
},
{
"tags": [
"vendor-advisory",
"x_refsource_REDHAT"
],
"url": "https://access.redhat.com/errata/RHSA-2026:36006"
}
],
"solutions": [
{
"lang": "en",
"value": "RHSA-2026:36005: Red Hat AI Inference Server 3.2"
},
{
"lang": "en",
"value": "RHSA-2026:36006: Red Hat AI Inference Server 3.2"
}
],
"timeline": [
{
"lang": "en",
"time": "2026-06-22T23:01:00.799Z",
"value": "Reported to Red Hat."
},
{
"lang": "en",
"time": "2026-06-22T22:18:14.494Z",
"value": "Made public."
}
],
"title": "vllm: vLLM: Arbitrary code execution via malicious HuggingFace model",
"workarounds": [
{
"lang": "en",
"value": "Avoid running vLLM with python -O or PYTHONOPTIMIZE=1 until updated packages are available. Only load models from trusted sources. Restrict who can deploy or update models on inference endpoints. Apply network access controls and authentication in front of vLLM APIs."
}
],
"x_adpType": "supplier",
"x_generator": {
"engine": "sadp-cli 1.0.0"
}
}
],
"cna": {
"affected": [
{
"product": "vllm",
"vendor": "vllm-project",
"versions": [
{
"status": "affected",
"version": "\u003c 0.22.0"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.0, an assert-based security check in vLLM\u0027s activation function loading allows any unauthenticated attacker to achieve arbitrary code execution on the server by publishing a malicious HuggingFace model, when vLLM runs in Python optimized mode (python -O or PYTHONOPTIMIZE=1). This vulnerability is fixed in 0.22.0."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-94",
"description": "CWE-94: Improper Control of Generation of Code (\u0027Code Injection\u0027)",
"lang": "en",
"type": "CWE"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-617",
"description": "CWE-617: Reachable Assertion",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-06-22T22:18:14.494Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/vllm-project/vllm/security/advisories/GHSA-q8gq-377p-jq3r",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-q8gq-377p-jq3r"
},
{
"name": "https://github.com/vllm-project/vllm/commit/b3c7ffcab82c2439726f8cb213800f6f38c023d3",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/vllm-project/vllm/commit/b3c7ffcab82c2439726f8cb213800f6f38c023d3"
},
{
"name": "https://huntr.com/bounties/dcb05b04-e625-41e7-adbc-bbae0cc2d64c",
"tags": [
"x_refsource_MISC"
],
"url": "https://huntr.com/bounties/dcb05b04-e625-41e7-adbc-bbae0cc2d64c"
}
],
"source": {
"advisory": "GHSA-q8gq-377p-jq3r",
"discovery": "UNKNOWN"
},
"title": "vLLM: Security Check Bypass via assert Statement in Activation Function Loading Allows Arbitrary Code Execution"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-41523",
"datePublished": "2026-06-22T22:18:14.494Z",
"dateReserved": "2026-04-20T18:18:50.682Z",
"dateUpdated": "2026-07-15T00:59:18.930Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
CVE-2026-41512 (GCVE-0-2026-41512)
Vulnerability from cvelistv5 – Published: 2026-05-08 13:52 – Updated: 2026-05-08 21:27
VLAI
EPSS
VEX
Title
Remote code execution via JavaScript injection in `BrowserAutomation::PlaywrightService`
Summary
ai-scanner is an AI model safety scanner built on NVIDIA garak. From version 1.0.0 to before version 1.4.1, there is a remote code execution vulnerability via JavaScript injection in `BrowserAutomation::PlaywrightService`. This issue has been patched in version 1.4.1.
Severity
9.9 (Critical)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/0din-ai/ai-scanner/security/ad… | x_refsource_CONFIRM |
| https://github.com/0din-ai/ai-scanner/releases/ta… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| 0din-ai | ai-scanner |
Affected:
>= 1.0.0, < 1.4.1
|
{
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2026-41512",
"options": [
{
"Exploitation": "poc"
},
{
"Automatable": "no"
},
{
"Technical Impact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-05-08T17:04:46.709991Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-05-08T21:27:16.514Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"references": [
{
"tags": [
"exploit"
],
"url": "https://github.com/0din-ai/ai-scanner/security/advisories/GHSA-r27j-xxgx-f5vr"
}
],
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "ai-scanner",
"vendor": "0din-ai",
"versions": [
{
"status": "affected",
"version": "\u003e= 1.0.0, \u003c 1.4.1"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "ai-scanner is an AI model safety scanner built on NVIDIA garak. From version 1.0.0 to before version 1.4.1, there is a remote code execution vulnerability via JavaScript injection in `BrowserAutomation::PlaywrightService`. This issue has been patched in version 1.4.1."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.9,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-94",
"description": "CWE-94: Improper Control of Generation of Code (\u0027Code Injection\u0027)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-05-08T13:52:56.263Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/0din-ai/ai-scanner/security/advisories/GHSA-r27j-xxgx-f5vr",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/0din-ai/ai-scanner/security/advisories/GHSA-r27j-xxgx-f5vr"
},
{
"name": "https://github.com/0din-ai/ai-scanner/releases/tag/v1.4.1",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/0din-ai/ai-scanner/releases/tag/v1.4.1"
}
],
"source": {
"advisory": "GHSA-r27j-xxgx-f5vr",
"discovery": "UNKNOWN"
},
"title": "Remote code execution via JavaScript injection in `BrowserAutomation::PlaywrightService`"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-41512",
"datePublished": "2026-05-08T13:52:56.263Z",
"dateReserved": "2026-04-20T18:18:50.681Z",
"dateUpdated": "2026-05-08T21:27:16.514Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
CVE-2026-41507 (GCVE-0-2026-41507)
Vulnerability from cvelistv5 – Published: 2026-05-08 13:49 – Updated: 2026-05-08 14:20
VLAI
EPSS
VEX
Title
Remote Code Execution (RCE) via String Literal Injection into math-codegen
Summary
math-codegen generates code from mathematical expressions. Prior to version 0.4.3, string literal content passed to cg.parse() is injected verbatim into a new Function() body without sanitization. This allows an attacker to execute arbitrary system commands when user-controlled input reaches the parser. Any application exposing a math evaluation endpoint where user input flows into cg.parse() is vulnerable to full RCE. This issue has been patched in version 0.4.3.
Severity
9.8 (Critical)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/mauriciopoppe/math-codegen/sec… | x_refsource_CONFIRM |
| https://github.com/mauriciopoppe/math-codegen/pull/11 | x_refsource_MISC |
| https://github.com/mauriciopoppe/math-codegen/com… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| mauriciopoppe | math-codegen |
Affected:
< 0.4.3
|
{
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2026-41507",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "yes"
},
{
"Technical Impact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-05-08T14:20:14.868190Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-05-08T14:20:21.285Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "math-codegen",
"vendor": "mauriciopoppe",
"versions": [
{
"status": "affected",
"version": "\u003c 0.4.3"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "math-codegen generates code from mathematical expressions. Prior to version 0.4.3, string literal content passed to cg.parse() is injected verbatim into a new Function() body without sanitization. This allows an attacker to execute arbitrary system commands when user-controlled input reaches the parser. Any application exposing a math evaluation endpoint where user input flows into cg.parse() is vulnerable to full RCE. This issue has been patched in version 0.4.3."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-94",
"description": "CWE-94: Improper Control of Generation of Code (\u0027Code Injection\u0027)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-05-08T13:49:34.091Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/mauriciopoppe/math-codegen/security/advisories/GHSA-p6x5-p4xf-cc4r",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/mauriciopoppe/math-codegen/security/advisories/GHSA-p6x5-p4xf-cc4r"
},
{
"name": "https://github.com/mauriciopoppe/math-codegen/pull/11",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/mauriciopoppe/math-codegen/pull/11"
},
{
"name": "https://github.com/mauriciopoppe/math-codegen/commit/4bb52d3030683362b3559ee8dd91350555a05f6b",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/mauriciopoppe/math-codegen/commit/4bb52d3030683362b3559ee8dd91350555a05f6b"
}
],
"source": {
"advisory": "GHSA-p6x5-p4xf-cc4r",
"discovery": "UNKNOWN"
},
"title": "Remote Code Execution (RCE) via String Literal Injection into math-codegen"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-41507",
"datePublished": "2026-05-08T13:49:34.091Z",
"dateReserved": "2026-04-20T18:18:50.681Z",
"dateUpdated": "2026-05-08T14:20:21.285Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
CVE-2026-41486 (GCVE-0-2026-41486)
Vulnerability from cvelistv5 – Published: 2026-05-08 21:46 – Updated: 2026-05-12 02:07
VLAI
EPSS
VEX
Title
Ray: Remote Code Execution via Parquet Arrow Extension Type Deserialization
Summary
Ray is an AI compute engine. From version 2.54.0 to before version 2.55.0, Ray Data registers custom Arrow extension types (ray.data.arrow_tensor, ray.data.arrow_tensor_v2, ray.data.arrow_variable_shaped_tensor) globally in PyArrow. When PyArrow reads a Parquet file containing one of these extension types, it calls __arrow_ext_deserialize__ on the field's metadata bytes. Ray's implementation passes these bytes directly to cloudpickle.loads(), achieving arbitrary code execution during schema parsing, before any row data is read. This issue has been patched in version 2.55.0.
Severity
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/ray-project/ray/security/advis… | x_refsource_CONFIRM |
| https://github.com/ray-project/ray/pull/62056 | x_refsource_MISC |
| https://github.com/ray-project/ray/commit/c02bd31… | x_refsource_MISC |
| https://github.com/ray-project/ray/releases/tag/r… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| ray-project | ray |
Affected:
>= 2.54.0, < 2.55.0
|
{
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2026-41486",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "yes"
},
{
"Technical Impact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-05-12T02:07:47.053848Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-05-12T02:07:57.661Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "ray",
"vendor": "ray-project",
"versions": [
{
"status": "affected",
"version": "\u003e= 2.54.0, \u003c 2.55.0"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Ray is an AI compute engine. From version 2.54.0 to before version 2.55.0, Ray Data registers custom Arrow extension types (ray.data.arrow_tensor, ray.data.arrow_tensor_v2, ray.data.arrow_variable_shaped_tensor) globally in PyArrow. When PyArrow reads a Parquet file containing one of these extension types, it calls __arrow_ext_deserialize__ on the field\u0027s metadata bytes. Ray\u0027s implementation passes these bytes directly to cloudpickle.loads(), achieving arbitrary code execution during schema parsing, before any row data is read. This issue has been patched in version 2.55.0."
}
],
"metrics": [
{
"cvssV4_0": {
"attackComplexity": "LOW",
"attackRequirements": "PRESENT",
"attackVector": "NETWORK",
"baseScore": 8.9,
"baseSeverity": "HIGH",
"privilegesRequired": "NONE",
"subAvailabilityImpact": "HIGH",
"subConfidentialityImpact": "HIGH",
"subIntegrityImpact": "HIGH",
"userInteraction": "ACTIVE",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:A/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H",
"version": "4.0",
"vulnAvailabilityImpact": "HIGH",
"vulnConfidentialityImpact": "HIGH",
"vulnIntegrityImpact": "HIGH"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-94",
"description": "CWE-94: Improper Control of Generation of Code (\u0027Code Injection\u0027)",
"lang": "en",
"type": "CWE"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-502",
"description": "CWE-502: Deserialization of Untrusted Data",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-05-08T21:46:14.442Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/ray-project/ray/security/advisories/GHSA-mw35-8rx3-xf9r",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/ray-project/ray/security/advisories/GHSA-mw35-8rx3-xf9r"
},
{
"name": "https://github.com/ray-project/ray/pull/62056",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/ray-project/ray/pull/62056"
},
{
"name": "https://github.com/ray-project/ray/commit/c02bd31ae31996805868baa446a131a8d304525f",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/ray-project/ray/commit/c02bd31ae31996805868baa446a131a8d304525f"
},
{
"name": "https://github.com/ray-project/ray/releases/tag/ray-2.55.0",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/ray-project/ray/releases/tag/ray-2.55.0"
}
],
"source": {
"advisory": "GHSA-mw35-8rx3-xf9r",
"discovery": "UNKNOWN"
},
"title": "Ray: Remote Code Execution via Parquet Arrow Extension Type Deserialization"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-41486",
"datePublished": "2026-05-08T21:46:14.442Z",
"dateReserved": "2026-04-20T16:14:19.007Z",
"dateUpdated": "2026-05-12T02:07:57.661Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
CVE-2026-41414 (GCVE-0-2026-41414)
Vulnerability from cvelistv5 – Published: 2026-04-24 18:32 – Updated: 2026-04-27 13:45
VLAI
EPSS
VEX
Title
Skim: Arbitrary code execution via pull_request_target fork checkout in pr.yml
Summary
Skim is a fuzzy finder designed to through files, lines, and commands. The generate-files job in .github/workflows/pr.yml checks out attacker-controlled fork code and executes it via cargo run, with access to SKIM_RS_BOT_PRIVATE_KEY and GITHUB_TOKEN (contents:write). No gates prevent exploitation - any GitHub user can trigger this by opening a pull request from a fork. This vulnerability is fixed with commit bf63404ad51985b00ed304690ba9d477860a5a75.
Severity
7.4 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/skim-rs/skim/security/advisori… | x_refsource_CONFIRM |
| https://github.com/skim-rs/skim/commit/bf63404ad5… | x_refsource_MISC |
| https://drive.google.com/file/d/1Gj7ziTK42YWXYoQg… | exploit |
Impacted products
{
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2026-41414",
"options": [
{
"Exploitation": "poc"
},
{
"Automatable": "no"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-04-27T13:45:19.315419Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-04-27T13:45:23.120Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"references": [
{
"tags": [
"exploit"
],
"url": "https://github.com/skim-rs/skim/security/advisories/GHSA-9g93-rxr5-xhqw"
},
{
"tags": [
"exploit"
],
"url": "https://drive.google.com/file/d/1Gj7ziTK42YWXYoQgTbis_rMitHR59J6F/view"
}
],
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "skim",
"vendor": "skim-rs",
"versions": [
{
"status": "affected",
"version": "\u003c bf63404ad51985b00ed304690ba9d477860a5a75"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Skim is a fuzzy finder designed to through files, lines, and commands. The generate-files job in .github/workflows/pr.yml checks out attacker-controlled fork code and executes it via cargo run, with access to SKIM_RS_BOT_PRIVATE_KEY and GITHUB_TOKEN (contents:write). No gates prevent exploitation - any GitHub user can trigger this by opening a pull request from a fork. This vulnerability is fixed with commit bf63404ad51985b00ed304690ba9d477860a5a75."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.4,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:N/I:H/A:N",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-94",
"description": "CWE-94: Improper Control of Generation of Code (\u0027Code Injection\u0027)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-04-24T18:32:36.283Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/skim-rs/skim/security/advisories/GHSA-9g93-rxr5-xhqw",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/skim-rs/skim/security/advisories/GHSA-9g93-rxr5-xhqw"
},
{
"name": "https://github.com/skim-rs/skim/commit/bf63404ad51985b00ed304690ba9d477860a5a75",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/skim-rs/skim/commit/bf63404ad51985b00ed304690ba9d477860a5a75"
}
],
"source": {
"advisory": "GHSA-9g93-rxr5-xhqw",
"discovery": "UNKNOWN"
},
"title": "Skim: Arbitrary code execution via pull_request_target fork checkout in pr.yml"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-41414",
"datePublished": "2026-04-24T18:32:36.283Z",
"dateReserved": "2026-04-20T15:32:33.812Z",
"dateUpdated": "2026-04-27T13:45:23.120Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
CVE-2026-41282 (GCVE-0-2026-41282)
Vulnerability from cvelistv5 – Published: 2026-04-20 07:10 – Updated: 2026-04-21 00:59
VLAI
EPSS
VEX
Summary
ProjectDiscovery Nuclei 3 before 3.8.0 allows DSL expression injection. This affects use of -env-vars for multi-step templates against untrusted targets (not the default configuration).
Severity
4 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| ProjectDiscovery | Nuclei |
Affected:
3.0.0 , < 3.8.0
(semver)
|
{
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2026-41282",
"options": [
{
"Exploitation": "poc"
},
{
"Automatable": "no"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-04-20T14:47:04.424961Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-04-20T14:47:11.102Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"references": [
{
"tags": [
"exploit"
],
"url": "https://github.com/projectdiscovery/nuclei/pull/7221"
},
{
"tags": [
"exploit"
],
"url": "https://github.com/projectdiscovery/nuclei/pull/7321"
}
],
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"defaultStatus": "unaffected",
"product": "Nuclei",
"vendor": "ProjectDiscovery",
"versions": [
{
"lessThan": "3.8.0",
"status": "affected",
"version": "3.0.0",
"versionType": "semver"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "ProjectDiscovery Nuclei 3 before 3.8.0 allows DSL expression injection. This affects use of -env-vars for multi-step templates against untrusted targets (not the default configuration)."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:N/A:N",
"version": "3.1"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en",
"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-94",
"description": "CWE-94 Improper Control of Generation of Code (\u0027Code Injection\u0027)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-04-21T00:59:19.998Z",
"orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
"shortName": "mitre"
},
"references": [
{
"url": "https://github.com/projectdiscovery/nuclei/security/advisories/GHSA-jm34-66cf-qpvr"
},
{
"url": "https://github.com/projectdiscovery/nuclei/pull/7221"
},
{
"url": "https://github.com/projectdiscovery/nuclei/pull/7321"
},
{
"url": "https://github.com/projectdiscovery/nuclei/commit/d2217320162d5782ca7cb95bef9dda17063818f3"
},
{
"url": "https://github.com/projectdiscovery/nuclei/commit/6c803c74d193f85f8a6d9803ce493fd302cad0eb"
}
],
"x_generator": {
"engine": "CVE-Request-form 0.0.1"
}
}
},
"cveMetadata": {
"assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
"assignerShortName": "mitre",
"cveId": "CVE-2026-41282",
"datePublished": "2026-04-20T07:10:30.246Z",
"dateReserved": "2026-04-20T07:10:29.549Z",
"dateUpdated": "2026-04-21T00:59:19.998Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
CVE-2026-41258 (GCVE-0-2026-41258)
Vulnerability from cvelistv5 – Published: 2026-05-15 16:13 – Updated: 2026-05-15 16:40
VLAI
EPSS
VEX
Title
OpenMRS: Stored Velocity SSTI to RCE via ConceptReferenceRange
Summary
OpenMRS is an open source electronic medical record system platform. From 2.7.0 to before 2.7.9 and 2.8.6, the ConceptReferenceRangeUtility.evaluateCriteria() method in OpenMRS Core evaluates database-stored criteria strings as Apache Velocity templates without any sandbox configuration. The VelocityEngine is initialized with only logging properties and noSecureUberspector, leaving the default UberspectImpl in place, which allows unrestricted Java reflection through template expressions. A user with the Manage Concepts privilege can store a malicious Velocity template expression in a concept's reference range criteria field. This payload is then executed automatically whenever a user or API call validates an observation against the affected concept. The Velocity context exposes $patient (the Person / Patient object), $obs (the Obs object), and $fn (the ConceptReferenceRangeUtility instance with access to the full OpenMRS service layer). This vulnerability is fixed in 2.7.9 and 2.8.6.
Severity
9.1 (Critical)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/openmrs/openmrs-core/security/… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| openmrs | openmrs-core |
Affected:
>= 2.7.0 < 2.7.9
Affected: >= 2.8.0 < 2.8.6 |
{
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2026-41258",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "no"
},
{
"Technical Impact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-05-15T16:39:58.631532Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-05-15T16:40:36.115Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "openmrs-core",
"vendor": "openmrs",
"versions": [
{
"status": "affected",
"version": "\u003e= 2.7.0 \u003c 2.7.9"
},
{
"status": "affected",
"version": "\u003e= 2.8.0 \u003c 2.8.6"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "OpenMRS is an open source electronic medical record system platform. From 2.7.0 to before 2.7.9 and 2.8.6, the ConceptReferenceRangeUtility.evaluateCriteria() method in OpenMRS Core evaluates database-stored criteria strings as Apache Velocity templates without any sandbox configuration. The VelocityEngine is initialized with only logging properties and noSecureUberspector, leaving the default UberspectImpl in place, which allows unrestricted Java reflection through template expressions. A user with the Manage Concepts privilege can store a malicious Velocity template expression in a concept\u0027s reference range criteria field. This payload is then executed automatically whenever a user or API call validates an observation against the affected concept. The Velocity context exposes $patient (the Person / Patient object), $obs (the Obs object), and $fn (the ConceptReferenceRangeUtility instance with access to the full OpenMRS service layer). This vulnerability is fixed in 2.7.9 and 2.8.6."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.1,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "HIGH",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-94",
"description": "CWE-94: Improper Control of Generation of Code (\u0027Code Injection\u0027)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-05-15T16:13:18.131Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/openmrs/openmrs-core/security/advisories/GHSA-xj4f-8jjg-vx4q",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/openmrs/openmrs-core/security/advisories/GHSA-xj4f-8jjg-vx4q"
}
],
"source": {
"advisory": "GHSA-xj4f-8jjg-vx4q",
"discovery": "UNKNOWN"
},
"title": "OpenMRS: Stored Velocity SSTI to RCE via ConceptReferenceRange"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-41258",
"datePublished": "2026-05-15T16:13:18.131Z",
"dateReserved": "2026-04-18T14:01:46.801Z",
"dateUpdated": "2026-05-15T16:40:36.115Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
CVE-2026-41249 (GCVE-0-2026-41249)
Vulnerability from cvelistv5 – Published: 2026-06-04 19:26 – Updated: 2026-06-08 19:15
VLAI
EPSS
VEX
Title
CoreShop Vulnerable to Remote Code Execution (RCE) via Insecure `pull_request_target` Configuration
Summary
CoreShop is a Pimcore enhanced eCommerce solution. In versions 5.0.1 through 5.1.0-beta.1,, the GitHub Actions workflow (`.github/workflows/static.yml`) uses the `pull_request_target` trigger but dangerously checks out the unverified code from the pull request head (`ref: ${{ github.event.pull_request.head.ref }}`). Subsequently, it executes a script (`bin/console`) from this untrusted checkout. This allows any external attacker to achieve Remote Code Execution (RCE) on the GitHub Actions runner simply by submitting a malicious Pull Request. Also known as a "Pwn Request" vulnerability. As of time of publication, `pull_request_target` is still in the file.
Severity
8.2 (High)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/coreshop/CoreShop/security/adv… | x_refsource_CONFIRM |
| https://github.com/coreshop/CoreShop/commit/cc1e3… | x_refsource_MISC |
| https://github.com/coreshop/CoreShop/blob/5.1.0-b… | x_refsource_MISC |
Impacted products
{
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2026-41249",
"options": [
{
"Exploitation": "poc"
},
{
"Automatable": "yes"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-06-08T19:14:42.867763Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-06-08T19:15:02.639Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"references": [
{
"tags": [
"exploit"
],
"url": "https://github.com/coreshop/CoreShop/security/advisories/GHSA-q58j-g3f4-h26h"
}
],
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "CoreShop",
"vendor": "coreshop",
"versions": [
{
"status": "affected",
"version": "\u003e= 5.0.1, \u003c= 5.1.0-beta.1"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "CoreShop is a Pimcore enhanced eCommerce solution. In versions 5.0.1 through 5.1.0-beta.1,, the GitHub Actions workflow (`.github/workflows/static.yml`) uses the `pull_request_target` trigger but dangerously checks out the unverified code from the pull request head (`ref: ${{ github.event.pull_request.head.ref }}`). Subsequently, it executes a script (`bin/console`) from this untrusted checkout. This allows any external attacker to achieve Remote Code Execution (RCE) on the GitHub Actions runner simply by submitting a malicious Pull Request. Also known as a \"Pwn Request\" vulnerability. As of time of publication, `pull_request_target` is still in the file."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 8.2,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:N",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-94",
"description": "CWE-94: Improper Control of Generation of Code (\u0027Code Injection\u0027)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-06-04T19:26:46.043Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/coreshop/CoreShop/security/advisories/GHSA-q58j-g3f4-h26h",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/coreshop/CoreShop/security/advisories/GHSA-q58j-g3f4-h26h"
},
{
"name": "https://github.com/coreshop/CoreShop/commit/cc1e3f547228ec5ebfc1dc0472f9a3cc5f4137a4",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/coreshop/CoreShop/commit/cc1e3f547228ec5ebfc1dc0472f9a3cc5f4137a4"
},
{
"name": "https://github.com/coreshop/CoreShop/blob/5.1.0-beta.1/.github/workflows/static.yml#L14",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/coreshop/CoreShop/blob/5.1.0-beta.1/.github/workflows/static.yml#L14"
}
],
"source": {
"advisory": "GHSA-q58j-g3f4-h26h",
"discovery": "UNKNOWN"
},
"title": "CoreShop Vulnerable to Remote Code Execution (RCE) via Insecure `pull_request_target` Configuration"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-41249",
"datePublished": "2026-06-04T19:26:46.043Z",
"dateReserved": "2026-04-18T03:47:03.136Z",
"dateUpdated": "2026-06-08T19:15:02.639Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
Mitigation
Architecture and Design
Strategy: Refactoring
Refactor your program so that you do not have to dynamically generate code.
Mitigation
Architecture and Design
- Run your code in a "jail" or similar sandbox environment that enforces strict boundaries between the process and the operating system. This may effectively restrict which code can be executed by your product.
- Examples include the Unix chroot jail and AppArmor. In general, managed code may provide some protection.
- This may not be a feasible solution, and it only limits the impact to the operating system; the rest of your application may still be subject to compromise.
- Be careful to avoid CWE-243 and other weaknesses related to jails.
Mitigation MIT-5
Implementation
Strategy: Input Validation
- Assume all input is malicious. Use an "accept known good" input validation strategy, i.e., use a list of acceptable inputs that strictly conform to specifications. Reject any input that does not strictly conform to specifications, or transform it into something that does.
- When performing input validation, consider all potentially relevant properties, including length, type of input, the full range of acceptable values, missing or extra inputs, syntax, consistency across related fields, and conformance to business rules. As an example of business rule logic, "boat" may be syntactically valid because it only contains alphanumeric characters, but it is not valid if the input is only expected to contain colors such as "red" or "blue."
- Do not rely exclusively on looking for malicious or malformed inputs. This is likely to miss at least one undesirable input, especially if the code's environment changes. This can give attackers enough room to bypass the intended validation. However, denylists can be useful for detecting potential attacks or determining which inputs are so malformed that they should be rejected outright.
- To reduce the likelihood of code injection, use stringent allowlists that limit which constructs are allowed. If you are dynamically constructing code that invokes a function, then verifying that the input is alphanumeric might be insufficient. An attacker might still be able to reference a dangerous function that you did not intend to allow, such as system(), exec(), or exit().
Mitigation
Testing
Use dynamic tools and techniques that interact with the product using large test suites with many diverse inputs, such as fuzz testing (fuzzing), robustness testing, and fault injection. The product's operation may slow down, but it should not become unstable, crash, or generate incorrect results.
Mitigation MIT-32
Operation
Strategy: Compilation or Build Hardening
Run the code in an environment that performs automatic taint propagation and prevents any command execution that uses tainted variables, such as Perl's "-T" switch. This will force the program to perform validation steps that remove the taint, although you must be careful to correctly validate your inputs so that you do not accidentally mark dangerous inputs as untainted (see CWE-183 and CWE-184).
Mitigation MIT-32
Operation
Strategy: Environment Hardening
Run the code in an environment that performs automatic taint propagation and prevents any command execution that uses tainted variables, such as Perl's "-T" switch. This will force the program to perform validation steps that remove the taint, although you must be careful to correctly validate your inputs so that you do not accidentally mark dangerous inputs as untainted (see CWE-183 and CWE-184).
Mitigation
Implementation
For Python programs, it is frequently encouraged to use the ast.literal_eval() function instead of eval, since it is intentionally designed to avoid executing code. However, an adversary could still cause excessive memory or stack consumption via deeply nested structures [REF-1372], so the python documentation discourages use of ast.literal_eval() on untrusted data [REF-1373].
CAPEC-242: Code Injection
An adversary exploits a weakness in input validation on the target to inject new code into that which is currently executing. This differs from code inclusion in that code inclusion involves the addition or replacement of a reference to a code file, which is subsequently loaded by the target and used as part of the code of some application.
CAPEC-35: Leverage Executable Code in Non-Executable Files
An attack of this type exploits a system's trust in configuration and resource files. When the executable loads the resource (such as an image file or configuration file) the attacker has modified the file to either execute malicious code directly or manipulate the target process (e.g. application server) to execute based on the malicious configuration parameters. Since systems are increasingly interrelated mashing up resources from local and remote sources the possibility of this attack occurring is high.
CAPEC-77: Manipulating User-Controlled Variables
This attack targets user controlled variables (DEBUG=1, PHP Globals, and So Forth). An adversary can override variables leveraging user-supplied, untrusted query variables directly used on the application server without any data sanitization. In extreme cases, the adversary can change variables controlling the business logic of the application. For instance, in languages like PHP, a number of poorly set default configurations may allow the user to override variables.