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CWE-94
Improper Control of Generation of Code ('Code Injection')
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.
CVE-2026-41159 (GCVE-0-2026-41159)
Vulnerability from cvelistv5 – Published: 2026-05-29 13:53 – Updated: 2026-07-01 19:21
VLAI
Title
Mermaid: Improper sanitization of configuration leads to CSS injection
Summary
Mermaid is a JavaScript tool that uses Markdown-inspired text to create and modify diagrams and charts. Prior to 10.9.6 and 11.15.0, Mermaid's default configuration allows injecting CSS that applies outside of the Mermaid diagram via the fontFamily, themeCSS, and altFontFamily configuration options. The injected CSS exploits stylis's & (scope reference) handling. :not(&) escapes the #mermaid-xxx automatic scoping, applying styles to all page elements. Global at-rules (@font-face, @keyframes, @counter-style) are also injectable as stylis hoists them to top level. This allows page defacement and DOM attribute exfiltration via CSS :has() selectors. This vulnerability is fixed in 10.9.6 and 11.15.0.
Severity
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
5 references
| URL | Tags |
|---|---|
| https://github.com/mermaid-js/mermaid/security/ad… | x_refsource_CONFIRM |
| https://github.com/mermaid-js/mermaid/commit/6476… | x_refsource_MISC |
| https://github.com/mermaid-js/mermaid/commit/a9d9… | x_refsource_MISC |
| https://github.com/mermaid-js/mermaid/releases/ta… | x_refsource_MISC |
| https://github.com/mermaid-js/mermaid/releases/ta… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| mermaid-js | mermaid |
Affected:
>= 11.0.0-alpha.1, < 11.15.0
Affected: < 10.9.6 |
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CVE-2026-41196 (GCVE-0-2026-41196)
Vulnerability from cvelistv5 – Published: 2026-04-23 00:28 – Updated: 2026-04-23 14:38
VLAI
Title
Luanti has a mod security sandbox escape
Summary
Luanti (formerly Minetest) is an open source voxel game-creation platform. Starting in version 5.0.0 and prior to version 5.15.2, a malicious mod can trivially escape the sandboxed Lua environment to execute arbitrary code and gain full filesystem access on the user's device. This applies to the server-side mod, async and mapgen as well as the client-side (CSM) environments. This vulnerability is only exploitable when using LuaJIT. Version 5.15.2 contains a patch. On release versions, one can also patch this issue without recompiling by editing `builtin/init.lua` and adding the line `getfenv = nil` at the end. Note that this will break mods relying on this function (which is not inherently unsafe).
Severity
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
2 references
| URL | Tags |
|---|---|
| https://github.com/luanti-org/luanti/security/adv… | x_refsource_CONFIRM |
| https://github.com/luanti-org/luanti/commit/8a929… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| luanti-org | luanti |
Affected:
>= 5.0.0, < 5.15.2
|
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CVE-2026-41229 (GCVE-0-2026-41229)
Vulnerability from cvelistv5 – Published: 2026-04-23 03:44 – Updated: 2026-04-23 12:31
VLAI
Title
Froxlor has a PHP Code Injection via Unescaped Single Quotes in userdata.inc.php Generation (MysqlServer API)
Summary
Froxlor is open source server administration software. Prior to version 2.3.6, `PhpHelper::parseArrayToString()` writes string values into single-quoted PHP string literals without escaping single quotes. When an admin with `change_serversettings` permission adds or updates a MySQL server via the API, the `privileged_user` parameter (which has no input validation) is written unescaped into `lib/userdata.inc.php`. Since this file is `require`d on every request via `Database::getDB()`, an attacker can inject arbitrary PHP code that executes as the web server user on every subsequent page load. Version 2.3.6 contains a patch.
Severity
9.1 (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
3 references
| URL | Tags |
|---|---|
| https://github.com/froxlor/froxlor/security/advis… | x_refsource_CONFIRM |
| https://github.com/froxlor/froxlor/commit/3589ddf… | x_refsource_MISC |
| https://github.com/froxlor/froxlor/releases/tag/2.3.6 | x_refsource_MISC |
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CVE-2026-41242 (GCVE-0-2026-41242)
Vulnerability from cvelistv5 – Published: 2026-04-18 16:18 – Updated: 2026-06-30 12:08
VLAI
Title
protobufjs has an arbitrary code execution issue
Summary
protobufjs compiles protobuf definitions into JavaScript (JS) functions. In versions prior to 8.0.1 and 7.5.5, attackers can inject arbitrary code in the "type" fields of protobuf definitions, which will then execute during object decoding using that definition. Versions 8.0.1 and 7.5.5 patch the issue.
Severity
8.8 (High)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
11 references
| URL | Tags |
|---|---|
| https://github.com/protobufjs/protobuf.js/securit… | x_refsource_CONFIRM |
| https://github.com/protobufjs/protobuf.js/commit/… | x_refsource_MISC |
| https://github.com/protobufjs/protobuf.js/commit/… | x_refsource_MISC |
| https://github.com/protobufjs/protobuf.js/release… | x_refsource_MISC |
| https://github.com/protobufjs/protobuf.js/release… | x_refsource_MISC |
| https://access.redhat.com/security/cve/CVE-2026-41242 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2459442 | issue-trackingx_refsource_REDHAT |
| https://security.access.redhat.com/data/csaf/v2/v… | x_sadp-csaf-vex |
| https://access.redhat.com/errata/RHSA-2026:21338 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:26234 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:24977 | vendor-advisoryx_refsource_REDHAT |
Impacted products
20 products
| Vendor | Product | Version | |
|---|---|---|---|
| protobufjs | protobuf.js |
Affected:
< 7.5.5
Affected: >= 8.0.0-experimental, < 8.0.1 |
|
| Red Hat | Red Hat Developer Hub 1.8 |
cpe:/a:redhat:rhdh:1.8::el9 |
|
| Red Hat | Red Hat Developer Hub 1.9 |
cpe:/a:redhat:rhdh:1.9::el9 |
|
| Red Hat | Red Hat OpenShift AI 2.25 |
cpe:/a:redhat:openshift_ai:2.25::el9 |
|
| Red Hat | OpenShift Pipelines |
cpe:/a:redhat:openshift_pipelines:1 |
|
| Red Hat | Red Hat build of Apicurio Registry 3 |
cpe:/a:redhat:apicurio_registry:3 |
|
| Red Hat | Red Hat Build of Podman Desktop |
cpe:/a:redhat:podman_desktop:1 |
|
| Red Hat | Red Hat Developer Hub |
cpe:/a:redhat:rhdh:1 |
|
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai |
|
| Red Hat | Red Hat OpenShift Container Platform 4 |
cpe:/a:redhat:openshift:4 |
|
| Red Hat | Self-service automation portal 2 |
cpe:/a:redhat:ansible_portal:2 |
|
| Red Hat | Red Hat Enterprise Linux 8 |
cpe:/o:redhat:enterprise_linux:8 |
|
| Red Hat | Red Hat Enterprise Linux 9 |
cpe:/o:redhat:enterprise_linux:9 |
|
| Red Hat | Red Hat Hardened Images |
cpe:/a:redhat:hummingbird:1 |
|
| Red Hat | Cryostat 4 |
cpe:/a:redhat:cryostat:4 |
|
| Red Hat | OpenShift Service Mesh 3 |
cpe:/a:redhat:service_mesh:3 |
|
| Red Hat | Red Hat Ansible Automation Platform 2 |
cpe:/a:redhat:ansible_automation_platform:2 |
|
| Red Hat | Red Hat Ceph Storage 9 |
cpe:/a:redhat:ceph_storage:9 |
|
| Red Hat | Red Hat Enterprise Linux AI (RHEL AI) 3 |
cpe:/a:redhat:enterprise_linux_ai:3 |
|
| Red Hat | Red Hat Openshift Data Foundation 4 |
cpe:/a:redhat:openshift_data_foundation:4 |
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CVE-2026-41246 (GCVE-0-2026-41246)
Vulnerability from cvelistv5 – Published: 2026-04-23 18:44 – Updated: 2026-06-30 12:08
VLAI
Title
Contour: Lua code injection via Cookie Path Rewrite Policy
Summary
Contour is a Kubernetes ingress controller using Envoy proxy. From v1.19.0 to before v1.33.4, v1.32.5, and v1.31.6, Contour's Cookie Rewriting feature is vulnerable to Lua code injection. An attacker with RBAC permissions to create or modify HTTPProxy resources can craft a malicious value in spec.routes[].cookieRewritePolicies[].pathRewrite.value or spec.routes[].services[].cookieRewritePolicies[].pathRewrite.value that results in arbitrary code execution in the Envoy proxy. The cookie rewriting feature is internally implemented using Envoy's HTTP Lua filter. User-controlled values are interpolated into Lua source code using Go text/template without sufficient sanitization. The injected code only executes when processing traffic on the attacker's own route, which they already control. However, since Envoy runs as shared infrastructure, the injected code can also read Envoy's xDS client credentials from the filesystem or cause denial of service for other tenants sharing the Envoy instance. This vulnerability is fixed in v1.33.4, v1.32.5, and v1.31.6.
Severity
8.1 (High)
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
7 references
| URL | Tags |
|---|---|
| https://github.com/projectcontour/contour/securit… | x_refsource_CONFIRM |
| https://github.com/projectcontour/contour/release… | x_refsource_MISC |
| https://github.com/projectcontour/contour/release… | x_refsource_MISC |
| https://github.com/projectcontour/contour/release… | x_refsource_MISC |
| https://access.redhat.com/security/cve/CVE-2026-41246 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2461257 | issue-trackingx_refsource_REDHAT |
| https://security.access.redhat.com/data/csaf/v2/v… | x_sadp-csaf-vex |
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| projectcontour | contour |
Affected:
>= 1.33.0, < 1.33.4
Affected: >= 1.32.0, < 1.32.5 Affected: >= 1.19.0, < 1.31.6 |
|
| Red Hat | ExternalDNS Operator |
cpe:/a:redhat:ext_dns_optr:1 |
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CVE-2026-41249 (GCVE-0-2026-41249)
Vulnerability from cvelistv5 – Published: 2026-06-04 19:26 – Updated: 2026-06-08 19:15
VLAI
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
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CVE-2026-41258 (GCVE-0-2026-41258)
Vulnerability from cvelistv5 – Published: 2026-05-15 16:13 – Updated: 2026-05-15 16:40
VLAI
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 |
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CVE-2026-41282 (GCVE-0-2026-41282)
Vulnerability from cvelistv5 – Published: 2026-04-20 07:10 – Updated: 2026-04-21 00:59
VLAI
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)
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CVE-2026-41414 (GCVE-0-2026-41414)
Vulnerability from cvelistv5 – Published: 2026-04-24 18:32 – Updated: 2026-04-27 13:45
VLAI
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
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CVE-2026-41486 (GCVE-0-2026-41486)
Vulnerability from cvelistv5 – Published: 2026-05-08 21:46 – Updated: 2026-05-12 02:07
VLAI
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
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"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"
}
Mitigation
Phase: Architecture and Design
Strategy: Refactoring
Description:
- Refactor your program so that you do not have to dynamically generate code.
Mitigation
Phase: Architecture and Design
Description:
- 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 ID: MIT-5
Phase: Implementation
Strategy: Input Validation
Description:
- 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
Phase: Testing
Description:
- 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 ID: MIT-32
Phase: Operation
Strategy: Compilation or Build Hardening
Description:
- 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 ID: MIT-32
Phase: Operation
Strategy: Environment Hardening
Description:
- 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
Phase: Implementation
Description:
- 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.