[Case CMVOT-172] Remediation needed — repo could not be auto-identified (CVE-2026-42208 litellm SQL Injection)

[datadog-datadog-prod-us1-2]

⚠️ Automated Remediation Placeholder — Human Triage Required

🔗 Case: CMVOT-172 — CVE-2026-42208 LiteLLM SQL Injection
🔴 Severity: Critical (P1)
📦 Package: litellm
🐛 CVE: CVE-2026-42208

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⚠️ Automated agent could not identify the affected repository.
Defaulting to DataDog/llm-observability for visibility (primary fallback DataDog/images was not accessible).
Please reassign this PR to the correct repository if needed.

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Issue Summary

CVE-2026-42208 is a critical SQL Injection vulnerability in the litellm Python package affecting the Proxy API Key Verification flow. An attacker may craft malicious input to manipulate SQL queries during API key validation, potentially leading to:

• Unauthorized access / authentication bypass
• Data exfiltration from the backend database
• Privilege escalation within the LiteLLM proxy

Affected Resource

Field	Value
Image	486234852809.dkr.ecr.us-east-1.amazonaws.com/ci/dd-analytics
Digest	sha256:29e31877e11726788cff75d2f4664447d1d1859db3c7ee8977ded3813342c81b
Package	litellm

Recommended Remediation

1. Identify the source repository that builds the ci/dd-analytics ECR image
2. In that repository, locate requirements.txt, pyproject.toml, or setup.py
3. Upgrade litellm to the latest patched version:

   litellm>=<patched-version>
   

4. Rebuild the ci/dd-analytics image with the patched dependency
5. Redeploy the updated image and verify the patch
6. Monitor upstream advisories: https://github.com/BerriAI/litellm/security/advisories

References

• https://nvd.nist.gov/vuln/detail/CVE-2026-42208
• https://github.com/BerriAI/litellm/security/advisories
• https://app.datadoghq.com/cases/CMVOT-172