Severity by source
CVSS:4.0/AV:N/AC:L/AT:P/PR:H/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
PR:H reflects mandatory guardrail admin privilege; AV:N for API exposure; limited C/I/A impact confined to proxy process secrets.
Primary rating from Vendor (GitHub_M).
CVSS VectorVendor: GitHub_M
CVSS:4.0/AV:N/AC:L/AT:P/PR:H/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Lifecycle Timeline
2DescriptionCVE.org
LiteLLM is a proxy server (AI Gateway) to call LLM APIs in OpenAI (or native) format. Prior to 1.82.0-stable, LiteLLM's Custom Code Guardrails production create and update paths did not apply the same sandboxing and validation used by the test endpoint, allowing a privileged user with access to create or update guardrails to submit custom Python code that executed in the LiteLLM proxy environment and could expose secrets available to the process. This issue is fixed in version 1.82.0-stable.
AnalysisAI
Custom Code Guardrails in LiteLLM's AI Gateway proxy prior to 1.82.0-stable permitted privileged users with guardrail management rights to submit arbitrary Python code via the production create and update API paths, which executed unsandboxed within the proxy process. Unlike the test endpoint - which enforced sandbox controls - the production paths lacked equivalent validation, enabling the injected code to access and expose secrets, API keys, and environment variables available to the running process. …
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Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata
Vulnerability AssessmentAI
| Exploitation | Exploitation requires a user account holding high-privilege guardrail management rights within the LiteLLM deployment - specifically, the ability to call the production guardrail create or update API paths. … Additional conditions and limiting factors are described in the full assessment. |
| Risk Assessment | The CVSS 4.0 score of 2.1 accurately reflects the constrained real-world risk profile: PR:H mandates a highly privileged account specifically scoped to guardrail management, and AT:P signals a required attack precondition beyond standard network access. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in. |
| Exploit Scenario | A privileged LiteLLM operator with guardrail management rights - or an attacker who has compromised such an account - submits a malicious custom Python guardrail payload via the production create API endpoint. Because the production path lacks the sandboxing enforced by the test endpoint, the Python code executes directly inside the proxy process, reading environment variables such as OPENAI_API_KEY, ANTHROPIC_API_KEY, or database credentials, and exfiltrating them to an attacker-controlled endpoint. … |
| Remediation | The primary fix is to upgrade LiteLLM to version 1.82.0-stable or later, which applies consistent sandboxing and validation to both the test and production guardrail API paths; the release is available at https://github.com/BerriAI/litellm/releases/tag/v1.82.0-stable and the remediation commit can be reviewed at https://github.com/BerriAI/litellm/commit/e50b4486d0f7aa0497185a1ebcdd2c91f1769eba. … Detailed patch versions, workarounds, and compensating controls in full report. |
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Same weakness CWE-94 – Code Injection
View allSame technique Code Injection
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External POC / Exploit Code
Leaving vuln.today
EUVD-2026-42350