PYSEC-2026-3937
Vulnerability from pysec - Published: 2026-09-10 09:45 - Updated: 2026-09-10 11:02Summary
When the vLLM API receives a malformed request (e.g., invalid JSON or missing required fields), FastAPI raises a Pydantic RequestValidationError. The validation_exception_handler in vllm/entrypoints/openai/server_utils.py converts this exception to a string via str(exc), which includes the internal file path and line number of the handler function. The existing sanitize_message() function in vllm/entrypoints/utils.py strips memory addresses (e.g., 0x7f...) but does not strip File "...", line X patterns. The result is a user-facing HTTP response that leaks internal system information.
Impact
An unauthenticated attacker can extract the following with a single malformed request:
- OS username running the vLLM process (e.g.,
ubuntu) - Home directory path (e.g.,
/home/ubuntu/) - Virtual environment path (e.g.,
vllm-env/) - Python version (e.g.,
3.12) - Internal package structure and line numbers (e.g.,
vllm/entrypoints/openai/chat_completion/api_router.py) - Handler function names per endpoint, enabling precise version fingerprinting
This information aids attackers in constructing targeted exploits: environment paths narrow the attack surface, and handler function names + line numbers enable exact version identification even when the /version endpoint is disabled.
All POST endpoints that accept JSON bodies are affected, including /v1/chat/completions, /v1/completions, /tokenize, and /detokenize.
Workarounds
Deploying vLLM behind a reverse proxy that rewrites error response bodies to strip file paths would mitigate this, though it is fragile.
Remediation Recommendation
Two possible fixes (either suffices):
Option A — Fix validation_exception_handler: Construct the error message from exc.errors() (the structured Pydantic error list) rather than str(exc). This avoids the traceback-style string entirely.
Option B — Fix sanitize_message: Add a regex to strip File "...", line \d+ patterns, similar to how memory addresses are already stripped:
import re
msg = re.sub(r'File ".*?", line \d+, in \w+', '[internal]', msg)
Option A is preferred as it addresses the root cause rather than filtering symptoms.
Environment Tested
- vLLM 0.20.1 (pip install, latest stable as of May 2026)
- Python 3.12
- Ubuntu 22.04
- Model: Qwen/Qwen2-0.5B (text-only; bug is model-independent)
This was fixed here: https://github.com/vllm-project/vllm/commit/e87521626f
| Name | purl | vllm | pkg:pypi/vllm |
|---|
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "vllm",
"purl": "pkg:pypi/vllm"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "0.26.0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.0.1",
"0.1.0",
"0.1.1",
"0.1.2",
"0.1.3",
"0.1.4",
"0.1.5",
"0.1.6",
"0.1.7",
"0.10.0",
"0.10.1",
"0.10.1.1",
"0.10.2",
"0.11.0",
"0.11.1",
"0.11.2",
"0.12.0",
"0.13.0",
"0.14.0",
"0.14.1",
"0.15.0",
"0.15.1",
"0.16.0",
"0.17.0",
"0.17.1",
"0.18.0",
"0.18.1",
"0.19.0",
"0.19.1",
"0.2.0",
"0.2.1",
"0.2.1.post1",
"0.2.2",
"0.2.3",
"0.2.4",
"0.2.5",
"0.2.6",
"0.2.7",
"0.20.0",
"0.20.1",
"0.20.2",
"0.21.0",
"0.22.0",
"0.22.1",
"0.23.0",
"0.24.0",
"0.25.0",
"0.25.1",
"0.3.0",
"0.3.1",
"0.3.2",
"0.3.3",
"0.4.0",
"0.4.0.post1",
"0.4.1",
"0.4.2",
"0.4.3",
"0.5.0",
"0.5.0.post1",
"0.5.1",
"0.5.2",
"0.5.3",
"0.5.3.post1",
"0.5.4",
"0.5.5",
"0.6.0",
"0.6.1",
"0.6.1.post1",
"0.6.1.post2",
"0.6.2",
"0.6.3",
"0.6.3.post1",
"0.6.4",
"0.6.4.post1",
"0.6.5",
"0.6.6",
"0.6.6.post1",
"0.7.0",
"0.7.1",
"0.7.2",
"0.7.3",
"0.8.0",
"0.8.1",
"0.8.2",
"0.8.3",
"0.8.4",
"0.8.5",
"0.8.5.post1",
"0.9.0",
"0.9.0.1",
"0.9.1",
"0.9.2"
]
}
],
"aliases": [
"CVE-2026-73555",
"GHSA-hwrm-c4cx-rf4j"
],
"details": "## Summary\n\nWhen the vLLM API receives a malformed request (e.g., invalid JSON or missing required fields), FastAPI raises a Pydantic `RequestValidationError`. The `validation_exception_handler` in `vllm/entrypoints/openai/server_utils.py` converts this exception to a string via `str(exc)`, which includes the internal file path and line number of the handler function. The existing `sanitize_message()` function in `vllm/entrypoints/utils.py` strips memory addresses (e.g., `0x7f...`) but does not strip `File \"...\", line X` patterns. The result is a user-facing HTTP response that leaks internal system information.\n\n## Impact\n\nAn unauthenticated attacker can extract the following with a single malformed request:\n\n- **OS username** running the vLLM process (e.g., `ubuntu`)\n- **Home directory path** (e.g., `/home/ubuntu/`)\n- **Virtual environment path** (e.g., `vllm-env/`)\n- **Python version** (e.g., `3.12`)\n- **Internal package structure and line numbers** (e.g., `vllm/entrypoints/openai/chat_completion/api_router.py`)\n- **Handler function names per endpoint**, enabling precise version fingerprinting\n\nThis information aids attackers in constructing targeted exploits: environment paths narrow the attack surface, and handler function names + line numbers enable exact version identification even when the `/version` endpoint is disabled.\n\nAll POST endpoints that accept JSON bodies are affected, including `/v1/chat/completions`, `/v1/completions`, `/tokenize`, and `/detokenize`.\n\n## Workarounds\n\nDeploying vLLM behind a reverse proxy that rewrites error response bodies to strip file paths would mitigate this, though it is fragile.\n\n## Remediation Recommendation\n\nTwo possible fixes (either suffices):\n\n**Option A \u2014 Fix `validation_exception_handler`:** Construct the error message from `exc.errors()` (the structured Pydantic error list) rather than `str(exc)`. This avoids the traceback-style string entirely.\n\n**Option B \u2014 Fix `sanitize_message`:** Add a regex to strip `File \"...\", line \\d+` patterns, similar to how memory addresses are already stripped:\n\n```python\nimport re\nmsg = re.sub(r\u0027File \".*?\", line \\d+, in \\w+\u0027, \u0027[internal]\u0027, msg)\n```\n\nOption A is preferred as it addresses the root cause rather than filtering symptoms.\n\n## Environment Tested\n\n- vLLM 0.20.1 (pip install, latest stable as of May 2026)\n- Python 3.12\n- Ubuntu 22.04\n- Model: Qwen/Qwen2-0.5B (text-only; bug is model-independent)\n\nThis was fixed here: https://github.com/vllm-project/vllm/commit/e87521626f",
"id": "PYSEC-2026-3937",
"modified": "2026-09-10T11:02:35.773647Z",
"published": "2026-09-10T09:45:00.131177Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-hwrm-c4cx-rf4j"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-73555"
},
{
"type": "WEB",
"url": "https://github.com/vllm-project/vllm/pull/46415"
},
{
"type": "WEB",
"url": "https://github.com/vllm-project/vllm/commit/e87521626febe2763f997691d1599de4175f4324"
},
{
"type": "PACKAGE",
"url": "https://github.com/vllm-project/vllm"
},
{
"type": "WEB",
"url": "https://github.com/vllm-project/vllm/releases/tag/v0.26.0"
},
{
"type": "PACKAGE",
"url": "https://pypi.org/project/vllm"
},
{
"type": "ADVISORY",
"url": "https://github.com/advisories/GHSA-hwrm-c4cx-rf4j"
}
],
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N",
"type": "CVSS_V3"
}
],
"summary": "vLLM: Unauthenticated Internal Path and Username Disclosure via Validation Error Messages"
}
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.
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.