vLLM CVE-2026-54236
MEDIUMSeverity by source
AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
Network-reachable Anthropic API endpoint requires no authentication; only a single heap address is disclosed with no integrity or availability impact.
Primary rating from Vendor (https://github.com/vllm-project/vllm).
CVSS VectorVendor: https://github.com/vllm-project/vllm
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
Lifecycle Timeline
3Blast Radius
ecosystem impact- 4 pypi packages depend on vllm (3 direct, 1 indirect)
Ecosystem-wide dependent count for version 0.23.0.
DescriptionCVE.org
vLLM: incomplete CVE-2026-22778 fix leaks PIL repr addresses via the Anthropic API router
Researcher: Kai Aizen - SnailSploit (@SnailSploit), Adversarial & Offensive Security Research Severity: CVSS 3.1 5.3 (Medium) AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N Target: https://github.com/vllm-project/vllm
---
Summary
The fix for CVE-2026-22778 / GHSA-4r2x-xpjr-7cvv (PRs #31987 and #32319) introduced sanitize_message and applied it at four FastAPI exception-handling sites in the OpenAI router. The sanitizer strips object-repr memory addresses (<_io.BytesIO object at 0x7a95e299e750> → <_io.BytesIO object>) before error messages reach the client, defeating the ASLR-bypass primitive that CVE-2026-22778 chained with a libopenjp2 heap overflow for RCE.
The fix is incomplete: response paths added to vLLM at or after the same time as the fix continue to echo str(exc) directly to clients without sanitize_message. The original Stage 1 primitive - sending malformed image bytes so PIL raises UnidentifiedImageError whose message contains the BytesIO object repr - reaches all of them unmodified and leaks the heap address verbatim in the response body.
All five lines below are present in main HEAD (771e1e48b, 2026-05-26).
Affected sites
Current main HEAD (771e1e48b, 2026-05-26):
| File | Line | Code |
|
Why the global exception handler does not save these paths
|---|---|---|---| | 1 | vllm/entrypoints/anthropic/api_router.py | 78 | message=str(e), (inside POST /v1/messages exception handler) | | 2 | vllm/entrypoints/anthropic/api_router.py | 124 | message=str(e), (inside POST /v1/messages/count_tokens) | | 3 | vllm/entrypoints/anthropic/serving.py | 808 | error=AnthropicError(type="internal_error", message=str(e)), (SSE streaming converter) | | 4 | vllm/entrypoints/speech_to_text/realtime/connection.py | 75 | await self.send_error(str(e), "processing_error") (WebSocket event loop) | | 5 | vllm/entrypoints/speech_to_text/realtime/connection.py | 265 | await self.send_error(str(e), "processing_error") (WebSocket generation loop) |
api_server.py registers a catch-all app.exception_handler(Exception)(exception_handler) at line 262, and that handler calls create_error_response(exc) which DOES apply sanitize_message. However, FastAPI exception handlers fire only on unhandled exceptions that propagate out of a route function.
All affected HTTP paths catch Exception *inside* the route coroutine and construct the response themselves:
# vllm/entrypoints/anthropic/api_router.py:71-81 (POST /v1/messages)
try:
generator = await handler.create_messages(request, raw_request)
except Exception as e:
logger.exception("Error in create_messages: %s", e)
return JSONResponse(
status_code=HTTPStatus.INTERNAL_SERVER_ERROR.value,
content=AnthropicErrorResponse(
error=AnthropicError(
type="internal_error",
message=str(e),
# <-- unsanitized
)
).model_dump(),
)Because the exception is caught and a JSONResponse is returned in-route, every registered FastAPI exception handler - including the sanitizing global one - is bypassed. The WebSocket path bypasses it for a different reason: WebSocket frames don't traverse FastAPI's HTTP exception handler chain at all.
Reachability - the same primitive as the parent CVE
The Anthropic Messages API accepts image content parts in the request body (type: "image" with base64 source.data or type: "image_url"). Image bytes are passed to the same multimodal loader used by the OpenAI router. Malformed bytes cause PIL.Image.open to raise:
UnidentifiedImageError: cannot identify image file <_io.BytesIO object at 0x7a95e299e750>The exception propagates up through handler.create_messages into the except Exception as e: at api_router.py:75. str(e) returns the exception message verbatim, including the address. The address ends up in the error.message field of the JSON response body returned to the attacker. ASLR entropy on the affected process drops from ~4 billion to ~8 candidates, identically to CVE-2026-22778 Stage 1.
The same primitive is reachable on POST /v1/messages/count_tokens (route #2), inside the SSE streaming converter when an exception is raised mid-stream (route #3), and over the realtime speech-to-text WebSocket when audio decoder or generation paths raise an exception containing any object repr (routes #4, #5).
Chronology - these are scope misses, not legacy code
- 2026-01-09: PR #31987 (
aa125ecf0) introducessanitize_messageand applies it to OpenAI router HTTP exception handlers. - 2026-01-15 (six days later): PR #32369 (
4c1c501a7) addsvllm/entrypoints/anthropic/api_router.pycontaining line 78'smessage=str(e). The fix was not applied to the new router. - 2026-03-02 (~two months later): PR #35588 (
9a87b0578) adds the Anthropiccount_tokensendpoint, replicating the samemessage=str(e)pattern at line 124. - 2026-05-12 (~four months later): PR #42370 (
d37e25ffb) consolidates speech-to-text entrypoints and the realtime WebSocket usessend_error(str(e), ...)for both error paths. - 2026-05-26: current
mainHEAD, all five lines still present.
Remediation
1. Apply sanitize_message symmetrically to the five sites
# vllm/entrypoints/anthropic/api_router.py - add at top:
from vllm.entrypoints.utils import sanitize_message
# Line 78 (POST /v1/messages) and Line 124 (count_tokens):
message=sanitize_message(str(e)),# vllm/entrypoints/anthropic/serving.py - add at top:
from vllm.entrypoints.utils import sanitize_message
# Line 808:
error=AnthropicError(type="internal_error", message=sanitize_message(str(e))),# vllm/entrypoints/speech_to_text/realtime/connection.py - add at top:
from vllm.entrypoints.utils import sanitize_message
# Lines 75 and 265:
await self.send_error(sanitize_message(str(e)), "processing_error")2. Tighten the regex (defense in depth)
The current regex r" at 0x[0-9a-f]+>" is narrow - it only matches the exact CPython builtin object-repr suffix in lowercase hex with a trailing >. Future Python versions, C extensions, or custom __repr__ methods could produce non-matching formats that re-enable the leak:
# vllm/entrypoints/utils.py
def sanitize_message(message: str) -> str:
# Strip any standalone hex address; downstream observers don't need them.
return re.sub(r"\b0x[0-9a-fA-F]{6,}\b", "0x?", message)3. Future-proofing: consider a response middleware
Both the route-local exception handling pattern (Anthropic router) and the WebSocket path bypass FastAPI's exception handler chain. A response-level middleware that always invokes sanitize_message on outgoing error bodies would prevent this class of regression entirely.
Affected versions
- All vLLM versions containing
vllm/entrypoints/anthropic/api_router.py(introduced 2026-01-15 in PR #32369). - All vLLM versions containing
vllm/entrypoints/speech_to_text/realtime/connection.py(introduced 2026-05-12 in PR #42370). - Confirmed present in
mainHEAD771e1e48b(2026-05-26).
Steps to reproduce
- Clone the target:
git clone --depth 1 https://github.com/vllm-project/vllm - Run the proof of concept (
PoC.py) against the cloned source. - Observe the result shown under *Verified result* below.
Credit
Kai Aizen - SnailSploit (@SnailSploit). Adversarial & Offensive Security Research.
Fix
A fix for this vulnerability was added here: https://github.com/vllm-project/vllm/pull/45119
AnalysisAI
Heap memory address leakage in vLLM's Anthropic API router and speech-to-text WebSocket paths exposes the same ASLR-bypass primitive previously fixed in CVE-2026-22778. Five exception-handling sites across vllm/entrypoints/anthropic/api_router.py, vllm/entrypoints/anthropic/serving.py, and vllm/entrypoints/speech_to_text/realtime/connection.py echo raw str(e) output - including PIL BytesIO object repr strings containing heap addresses - directly to unauthenticated callers. …
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Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata
Vulnerability AssessmentAI
| Exploitation | The vLLM instance must be configured to serve the Anthropic-compatible API router (i.e., `vllm/entrypoints/anthropic/api_router.py` must be active), which is a non-default deployment mode distinct from vLLM's standard OpenAI-compatible endpoint. … Additional conditions and limiting factors are described in the full assessment. |
| Risk Assessment | The CVSS 3.1 score of 5.3 Medium (AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N) is an accurate standalone rating: unauthenticated network access, trivial complexity, limited confidentiality impact of one heap address per request. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in. |
| Exploit Scenario | An unauthenticated attacker sends a POST request to `/v1/messages` on a vLLM instance serving the Anthropic API, including an image content part (`type: "image"`) with malformed base64-encoded bytes. PIL.Image.open raises UnidentifiedImageError with the BytesIO heap address embedded in the message; vLLM's unpatched exception handler returns this string verbatim in the `error.message` JSON field. … |
| Remediation | Apply the upstream fix from PR #45119 (commit 94923629729381d7f7c9efde72071a2441f7fd82, https://github.com/vllm-project/vllm/pull/45119), which wraps all five `str(e)` calls with `sanitize_message()` in `vllm/entrypoints/anthropic/api_router.py` (lines 78 and 124), `vllm/entrypoints/anthropic/serving.py` (line 808), and `vllm/entrypoints/speech_to_text/realtime/connection.py` (lines 75 and 265). … Detailed patch versions, workarounds, and compensating controls in full report. |
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GHSA-hgg8-fqqc-vfmw