CVE-2026-55585 (GCVE-0-2026-55585)
Vulnerability from cvelistv5 – Published: 2026-08-25 16:23 – Updated: 2026-08-25 16:23
VLAI
EPSS
VEX
Title
QWED: Authenticated Remote Code Execution via Unsafe SymPy `parse_expr()`
Summary
QWED is open-source AI verification infrastructure for deterministic verification of LLM outputs, tool calls, code, schemas, and agent state before production execution. Prior to 5.1.2, the qwed package passes caller-controlled math expressions directly to SymPy parse_expr() without restricted global_dict and local_dict namespaces, allowing Python eval() to resolve builtins and execute arbitrary Python code in the API server process. In src/qwed_new/api/main.py, POST /verify/math is protected by get_current_tenant but accepts any valid tenant API key, reads the expression field, applies only a cosmetic re.sub(r'(\d)(()', r'\1*\2', expression) normalization, and passes the result to parse_expr(). In src/qwed_new/core/batch.py, POST /verify/batch sends math items through batch_service.create_job(), stores item.query verbatim, and _verify_item() passes VerificationType.MATH input to parse_expr() without sanitization. The default-enabled POST /auth/signup endpoint allows anyone to create a standard tenant account, POST /auth/api-keys issues an x-api-key, and either vulnerable path can then be used to read or write files, modify data, execute operating system commands, terminate the service, and compromise other tenants in a shared deployment. This issue is fixed in version 5.1.2.
Severity
8.8 (High)
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/QWED-AI/qwed-verification/secu… | x_refsource_CONFIRM |
| https://github.com/QWED-AI/qwed-verification/pull/200 | x_refsource_MISC |
| https://github.com/QWED-AI/qwed-verification/comm… | x_refsource_MISC |
| https://github.com/QWED-AI/qwed-verification/comm… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| QWED-AI | qwed-verification |
Affected:
< 5.1.2
|
guessed |
{
"containers": {
"cna": {
"affected": [
{
"product": "qwed-verification",
"vendor": "QWED-AI",
"versions": [
{
"status": "affected",
"version": "\u003c 5.1.2"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "QWED is open-source AI verification infrastructure for deterministic verification of LLM outputs, tool calls, code, schemas, and agent state before production execution. Prior to 5.1.2, the qwed package passes caller-controlled math expressions directly to SymPy parse_expr() without restricted global_dict and local_dict namespaces, allowing Python eval() to resolve builtins and execute arbitrary Python code in the API server process. In src/qwed_new/api/main.py, POST /verify/math is protected by get_current_tenant but accepts any valid tenant API key, reads the expression field, applies only a cosmetic re.sub(r\u0027(\\d)(()\u0027, r\u0027\\1*\\2\u0027, expression) normalization, and passes the result to parse_expr(). In src/qwed_new/core/batch.py, POST /verify/batch sends math items through batch_service.create_job(), stores item.query verbatim, and _verify_item() passes VerificationType.MATH input to parse_expr() without sanitization. The default-enabled POST /auth/signup endpoint allows anyone to create a standard tenant account, POST /auth/api-keys issues an x-api-key, and either vulnerable path can then be used to read or write files, modify data, execute operating system commands, terminate the service, and compromise other tenants in a shared deployment. This issue is fixed in version 5.1.2."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/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": "2026-08-25T16:23:39.334Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/QWED-AI/qwed-verification/security/advisories/GHSA-q27q-98j4-9pfv",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/QWED-AI/qwed-verification/security/advisories/GHSA-q27q-98j4-9pfv"
},
{
"name": "https://github.com/QWED-AI/qwed-verification/pull/200",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/QWED-AI/qwed-verification/pull/200"
},
{
"name": "https://github.com/QWED-AI/qwed-verification/commit/6066b68c0c4f4cc2c3771824822aaa864d082ef8",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/QWED-AI/qwed-verification/commit/6066b68c0c4f4cc2c3771824822aaa864d082ef8"
},
{
"name": "https://github.com/QWED-AI/qwed-verification/commit/dc9d4db72ca4b4ae3f96d0e6a0c27a9e38a06f61",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/QWED-AI/qwed-verification/commit/dc9d4db72ca4b4ae3f96d0e6a0c27a9e38a06f61"
}
],
"source": {
"advisory": "GHSA-q27q-98j4-9pfv",
"discovery": "UNKNOWN"
},
"title": "QWED: Authenticated Remote Code Execution via Unsafe SymPy `parse_expr()`"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-55585",
"datePublished": "2026-08-25T16:23:39.334Z",
"dateReserved": "2026-06-16T23:18:03.169Z",
"dateUpdated": "2026-08-25T16:23:39.334Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"epss": {
"cve": "CVE-2026-55585",
"date": "2026-08-27",
"epss": "0.00444",
"percentile": "0.36962"
},
"nvd": "{\"cve\":{\"id\":\"CVE-2026-55585\",\"sourceIdentifier\":\"security-advisories@github.com\",\"published\":\"2026-08-25T17:17:32.903\",\"lastModified\":\"2026-08-25T17:17:32.903\",\"vulnStatus\":\"Received\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"QWED is open-source AI verification infrastructure for deterministic verification of LLM outputs, tool calls, code, schemas, and agent state before production execution. Prior to 5.1.2, the qwed package passes caller-controlled math expressions directly to SymPy parse_expr() without restricted global_dict and local_dict namespaces, allowing Python eval() to resolve builtins and execute arbitrary Python code in the API server process. In src/qwed_new/api/main.py, POST /verify/math is protected by get_current_tenant but accepts any valid tenant API key, reads the expression field, applies only a cosmetic re.sub(r\u0027(\\\\d)(()\u0027, r\u0027\\\\1*\\\\2\u0027, expression) normalization, and passes the result to parse_expr(). In src/qwed_new/core/batch.py, POST /verify/batch sends math items through batch_service.create_job(), stores item.query verbatim, and _verify_item() passes VerificationType.MATH input to parse_expr() without sanitization. The default-enabled POST /auth/signup endpoint allows anyone to create a standard tenant account, POST /auth/api-keys issues an x-api-key, and either vulnerable path can then be used to read or write files, modify data, execute operating system commands, terminate the service, and compromise other tenants in a shared deployment. This issue is fixed in version 5.1.2.\"}],\"affected\":[{\"source\":\"security-advisories@github.com\",\"affectedData\":[{\"vendor\":\"QWED-AI\",\"product\":\"qwed-verification\",\"versions\":[{\"version\":\"\u003c 5.1.2\",\"status\":\"affected\"}]}]}],\"metrics\":{\"cvssMetricV31\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H\",\"baseScore\":8.8,\"baseSeverity\":\"HIGH\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"LOW\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"HIGH\",\"integrityImpact\":\"HIGH\",\"availabilityImpact\":\"HIGH\"},\"exploitabilityScore\":2.8,\"impactScore\":5.9}]},\"weaknesses\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Primary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-94\"}]}],\"references\":[{\"url\":\"https://github.com/QWED-AI/qwed-verification/commit/6066b68c0c4f4cc2c3771824822aaa864d082ef8\",\"source\":\"security-advisories@github.com\"},{\"url\":\"https://github.com/QWED-AI/qwed-verification/commit/dc9d4db72ca4b4ae3f96d0e6a0c27a9e38a06f61\",\"source\":\"security-advisories@github.com\"},{\"url\":\"https://github.com/QWED-AI/qwed-verification/pull/200\",\"source\":\"security-advisories@github.com\"},{\"url\":\"https://github.com/QWED-AI/qwed-verification/security/advisories/GHSA-q27q-98j4-9pfv\",\"source\":\"security-advisories@github.com\"}]}}"
}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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