{"dataType": "CVE_RECORD", "dataVersion": "5.2", "cveMetadata": {"cveId": "CVE-2026-54769", "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "state": "PUBLISHED", "assignerShortName": "GitHub_M", "dateReserved": "2026-06-15T23:23:57.713Z", "datePublished": "2026-07-09T23:51:10.855Z", "dateUpdated": "2026-07-10T14:12:23.422Z"}, "containers": {"cna": {"title": "Langroid: Sandbox Escape to Remote Code Execution via Incomplete `eval()` Mitigation in TableChatAgent", "problemTypes": [{"descriptions": [{"cweId": "CWE-94", "lang": "en", "description": "CWE-94: Improper Control of Generation of Code ('Code Injection')", "type": "CWE"}]}], "metrics": [{"cvssV3_1": {"attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 10, "baseSeverity": "CRITICAL", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "NONE", "scope": "CHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H", "version": "3.1"}}], "references": [{"name": "https://github.com/langroid/langroid/security/advisories/GHSA-q9p7-wqxg-mrhc", "tags": ["x_refsource_CONFIRM"], "url": "https://github.com/langroid/langroid/security/advisories/GHSA-q9p7-wqxg-mrhc"}], "affected": [{"vendor": "langroid", "product": "langroid", "versions": [{"version": "< 0.65.2", "status": "affected"}]}], "providerMetadata": {"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "shortName": "GitHub_M", "dateUpdated": "2026-07-09T23:51:10.855Z"}, "descriptions": [{"lang": "en", "value": "Langroid is a framework for building large-language-model-powered applications. Versions prior to 0.65.2 are vulnerable to a critical Sandbox Escape leading to Remote Code Execution (RCE) in its `TableChatAgent` and `VectorStore` capabilities. When these agents evaluate LLM-generated tool messages with `full_eval=True`, they attempt to sandbox the execution by explicitly setting `locals` to an empty dictionary `{}` inside Python's `eval()` function. However, this relies on an incomplete understanding of Python's execution model. Because `__builtins__` is not explicitly scrubbed from the `globals` dictionary mapping, Python implicitly injects all built-ins during execution, granting full access to functions like `__import__('os').system()`. Since `TableChatAgent.pandas_eval()` executes external LLM outputs natively, this bypass permits any attacker providing prompt payload to achieve unauthenticated RCE on the host system. Version 0.65.2 patches the issue."}], "source": {"advisory": "GHSA-q9p7-wqxg-mrhc", "discovery": "UNKNOWN"}}, "adp": [{"references": [{"url": "https://github.com/langroid/langroid/security/advisories/GHSA-q9p7-wqxg-mrhc", "tags": ["exploit"]}], "metrics": [{"other": {"type": "ssvc", "content": {"timestamp": "2026-07-10T14:12:03.554156Z", "id": "CVE-2026-54769", "options": [{"Exploitation": "poc"}, {"Automatable": "yes"}, {"Technical Impact": "total"}], "role": "CISA Coordinator", "version": "2.0.3"}}}], "title": "CISA ADP Vulnrichment", "providerMetadata": {"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "shortName": "CISA-ADP", "dateUpdated": "2026-07-10T14:12:23.422Z"}}]}}

{"dataType": "CVE_RECORD", "containers": {"adp": [{"title": "CISA ADP Vulnrichment", "metrics": [{"other": {"type": "ssvc", "content": {"id": "CVE-2026-54769", "role": "CISA Coordinator", "options": [{"Exploitation": "poc"}, {"Automatable": "yes"}, {"Technical Impact": "total"}], "version": "2.0.3", "timestamp": "2026-07-10T14:12:03.554156Z"}}}], "references": [{"url": "https://github.com/langroid/langroid/security/advisories/GHSA-q9p7-wqxg-mrhc", "tags": ["exploit"]}], "providerMetadata": {"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "shortName": "CISA-ADP", "dateUpdated": "2026-07-10T14:11:41.869Z"}}], "cna": {"title": "Langroid: Sandbox Escape to Remote Code Execution via Incomplete `eval()` Mitigation in TableChatAgent", "source": {"advisory": "GHSA-q9p7-wqxg-mrhc", "discovery": "UNKNOWN"}, "metrics": [{"cvssV3_1": {"scope": "CHANGED", "version": "3.1", "baseScore": 10, "attackVector": "NETWORK", "baseSeverity": "CRITICAL", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H", "integrityImpact": "HIGH", "userInteraction": "NONE", "attackComplexity": "LOW", "availabilityImpact": "HIGH", "privilegesRequired": "NONE", "confidentialityImpact": "HIGH"}}], "affected": [{"vendor": "langroid", "product": "langroid", "versions": [{"status": "affected", "version": "< 0.65.2"}]}], "references": [{"url": "https://github.com/langroid/langroid/security/advisories/GHSA-q9p7-wqxg-mrhc", "name": "https://github.com/langroid/langroid/security/advisories/GHSA-q9p7-wqxg-mrhc", "tags": ["x_refsource_CONFIRM"]}], "descriptions": [{"lang": "en", "value": "Langroid is a framework for building large-language-model-powered applications. Versions prior to 0.65.2 are vulnerable to a critical Sandbox Escape leading to Remote Code Execution (RCE) in its `TableChatAgent` and `VectorStore` capabilities. When these agents evaluate LLM-generated tool messages with `full_eval=True`, they attempt to sandbox the execution by explicitly setting `locals` to an empty dictionary `{}` inside Python's `eval()` function. However, this relies on an incomplete understanding of Python's execution model. Because `__builtins__` is not explicitly scrubbed from the `globals` dictionary mapping, Python implicitly injects all built-ins during execution, granting full access to functions like `__import__('os').system()`. Since `TableChatAgent.pandas_eval()` executes external LLM outputs natively, this bypass permits any attacker providing prompt payload to achieve unauthenticated RCE on the host system. Version 0.65.2 patches the issue."}], "problemTypes": [{"descriptions": [{"lang": "en", "type": "CWE", "cweId": "CWE-94", "description": "CWE-94: Improper Control of Generation of Code ('Code Injection')"}]}], "providerMetadata": {"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "shortName": "GitHub_M", "dateUpdated": "2026-07-09T23:51:10.855Z"}}}, "cveMetadata": {"cveId": "CVE-2026-54769", "state": "PUBLISHED", "dateUpdated": "2026-07-10T14:12:23.422Z", "dateReserved": "2026-06-15T23:23:57.713Z", "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "datePublished": "2026-07-09T23:51:10.855Z", "assignerShortName": "GitHub_M"}, "dataVersion": "5.2"}

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{"affected": [{"configurations": [{"platform": null, "status": "affected", "versions": {"scheme": "semver", "value": "[0,0.65.2)"}}], "enrichment": {"confidence": 100.0, "confidence_source": "matching", "scores": [{"score": 100.0, "source": "matching"}]}, "original": {"product": "langroid", "source": "cna", "vendor": "langroid"}, "product": "langroid", "vendor": "langroid"}], "created": "2026-07-10T02:00:13.197707+00:00", "updated": "2026-07-13T00:30:17.210658+00:00", "vendors": ["langroid", "langroid$PRODUCT$langroid"]}