CVE-2026-55574 json
vLLM: ReDoS via structured_outputs.regex compiled without timeout in xgrammar and outlines backends
published 2026-07-06 4 mo ago modified 2026-10-25 14 d ago also GHSA-rwxx-mrjm-wc2m , PYSEC-2026-2304 , EUVD-2026-41924
- cvss
- 7.5
- version 3.1, NVD
- cisa kev
- Not listed
- not in CISA's catalog
- epss
- 0.6%
- EPSS 0.6% chance of exploitation in 30 days, percentile 48%
- public exploits
- 0
- none known
Summary
vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. Prior to 0.24.0, the structured_outputs.regex API parameter passes a user-supplied regular expression string directly to the grammar compiler backends with no compilation timeout; in the xgrammar backend the string reaches the regex compiler with no guard, and in the outlines backend the validation step blocks structural issues such as lookarounds and backreferences but performs no complexity analysis, so a pattern with nested quantifiers passes all checks and causes exponential state-space expansion, allowing a single request containing an adversarial regex to hang an inference worker indefinitely and deny service. This issue is fixed in version 0.24.0.
Patch / fix
- pypi vllm 0.24.0
- vllm vllm 0.24.0
- github.com/vllm-project/vllm@2b30060 commit
- github.com/vllm-project/vllm#45118 pull request
Vendor advisories
What the vendors themselves say about their products: affected, fixed or not affected, and what to do.
red hat product security vex CVE-2026-55574 updated cvss 7.5
vllm: vLLM: Denial of Service via adversarial regular expression in structured outputs API
-
Red Hat AI Inference Server rhaii/vllm-tpu-rhel9, rhaiis/vllm-cpu-rhel9, rhaiis/vllm-tpu-rhel9, rhaii/vllm-gaudi-rhel9, rhaii/vllm-neuron-rhel9, rhaiis/vllm-neuron-rhel9 Red Hat Enterprise Linux AI (RHEL AI) 3 rhelai3/bootc-gaudi-rhel9affected: workaround, no fix planned “Will not fix”
-
Red Hat OpenShift AI (RHOAI) rhoai/odh-vllm-gaudi-rhel9affected: workaround, no fix available
-
Red Hat AI Inference Server 3.2 rhaiis/vllm-cuda-rhel9 1787860580, rhaiis/vllm-rocm-rhel9 1787884873fixed: vendor fix RHSA-2026:61627
-
Red Hat AI Inference Server 3.3 rhaiis/vllm-spyre-rhel9 1787161776fixed: vendor fix RHSA-2026:60363
-
Red Hat AI Inference Server 3.4 rhaii/vllm-cpu-rhel9 1789681128, rhaii/vllm-cpu-rhel9 1790075793, rhaii/vllm-cuda-rhel9 1789681126, rhaii/vllm-cuda-rhel9 1790090131, rhaii/vllm-rocm-rhel9 1789681126, rhaii/vllm-rocm-rhel9 1790109620, +2 morefixed: vendor fix RHSA-2026:69466
-
Red Hat Enterprise Linux AI 3.4 rhelai3/bootc-cuda-rhel9 1790868254, rhelai3/bootc-rocm-rhel9 1790614447, rhelai3/bootc-aws-cuda-rhel9 1790881122, rhelai3/bootc-gcp-cuda-rhel9 1790881123, rhelai3/disk-image-cuda-rhel9 1790957417, rhelai3/bootc-azure-cuda-rhel9 1790881120, +1 morefixed: vendor fix RHSA-2026:76150
-
Red Hat OpenShift AI (RHOAI) rhoai/odh-kserve-agent-rhel9, rhoai/odh-kserve-router-rhel9, rhoai/odh-llm-d-kv-cache-rhel9, rhoai/odh-kserve-controller-rhel9, rhoai/odh-kserve-storage-initializer-rhel9not affected: vulnerable code not present
Red Hat CSAF VEX © Red Hat, Inc., from https://security.access.redhat.com/data/csaf/v2/vex/; changed: reduced to product statuses and remediations. CC BY 4.0 · csaf
CISA SSVC
- Exploitation
- none
- Automatable
- no
- Technical impact
- partial
- Assessed
- 4 mo ago
Exploit prediction
0.58% chance of exploitation in the next 30 days, higher than 48% of all scored CVEs (FIRST EPSS, 2026-11-08).
CVSS scores
| assigned by | version | score | vector |
|---|---|---|---|
| CNA | 4.0 | 8.7 | CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N |
| CNA | 4.0 | 8.7 | CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/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 |
| NVD | 3.1 | 7.5 | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H |
| OSV | 3.1 | 7.5 | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H |
| GitHub | 3.1 | 7.5 | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H |
Affected packages
| ecosystem | package | affected | fixed in |
|---|---|---|---|
| pypi | vllm | <0.24.0 |
0.24.0 |
Affected products
- vllm-project vllm
Classification
- Weakness
-
- CWE-1333 Inefficient Regular Expression Complexity
References
-
github.com
/vllm-project/vllm/pull/45118
web, issue-tracking, patch
-
github.com
/vllm-project/vllm/commit/2b3006076c5e9bc4cda9e03e3641388de3c5c286
web, patch
-
github.com
/vllm-project/vllm/security/advisories/GHSA-rwxx-mrjm-wc2m
web, vendor-advisory, mitigation, advisory
-
nvd.nist.gov
/vuln/detail/CVE-2026-55574
advisory
-
github.com
/pypa/advisory-database/tree/main/vulns/vllm/PYSEC-2026-2304.yaml
web
-
github.com
/vllm-project/vllm
package
Sources
- CVE List CVE-2026-55574
- GitHub Advisory GHSA-rwxx-mrjm-wc2m
- NVD CVE-2026-55574
- OSV PYSEC-2026-2304
Fencer Vulns keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.