CVE-2026-49468 json
LiteLLM: Authentication Bypass via Host Header Injection
published 5mo ago modified 17d ago also EUVD-2026-38361 , GHSA-4xpc-pv4p-pm3w , PYSEC-2026-388
- cvss
- 8.1
- version 3.1, CNA
- cisa kev
- Not listed
- not in CISA's catalog
- epss
- 3.0%
- EPSS 3.0% chance of exploitation in 30 days, percentile 87%
- public exploits
- 0
- none known
Summary
LiteLLM is a proxy server (AI Gateway) to call LLM APIs in OpenAI (or native) format. Prior to 1.84.0, a Host-header parsing flaw in the LiteLLM proxy could, under specific conditions, allow unauthenticated access to protected management routes. The auth layer derived the effective route from request.url.path in litellm/proxy/auth/auth_utils.py::get_request_route(), which Starlette reconstructs from the Host header. A crafted Host could therefore make the auth gate evaluate a different route from the one FastAPI dispatched. This vulnerability is fixed in 1.84.0.
Patch / fix
- pypi litellm 1.84.0
- litellm litellm 1.84.0
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Check with FencerVendor advisories
What the vendors themselves say about their products: affected, fixed or not affected, and what to do.
red hat product security vex CVE-2026-49468 updated cvss 8.1
litellm: LiteLLM: Authentication Bypass via Host Header Injection
-
Red Hat Exploit Intelligence exploit-intelligence-tech-preview/vulnerability-analysis-rhel9affected: workaround, no fix available
-
Red Hat Ansible Automation Platform 2 ansible-automation-platform-26/lightspeed-chatbot-rhel9, ansible-automation-platform-27/lightspeed-chatbot-rhel9 Red Hat OpenShift AI (RHOAI) rhoai/odh-llama-stack-core-rhel9, rhoai/odh-trustyai-garak-lls-provider-dsp-rhel9affected: workaround, no fix available “Fix deferred”
-
Red Hat OpenShift AI (RHOAI) rhoai/odh-mlflow-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
- yes
- Technical impact
- total
- Assessed
- 4mo ago
Exploit prediction
3.03% chance of exploitation in the next 30 days, higher than 87% of all scored CVEs (FIRST EPSS, 2026-11-11).
CVSS scores
| assigned by | version | score | vector |
|---|---|---|---|
| CNA | 4.0 | 9.5 | CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H |
| CISA ADP | 3.1 | 8.1 | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H |
| GitHub | 3.1 | 9.8 | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H |
| CNA | 4.0 | 9.5 | CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H/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 | 9.8 | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H |
| CNA | 3.1 | 8.1 | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H |
Affected packages
| ecosystem | package | affected | fixed in |
|---|---|---|---|
| pypi | litellm | <1.84.0 |
1.84.0 |
Affected products
- BerriAI litellm
- Red Hat Exploit Intelligence
- Red Hat Red Hat Ansible Automation Platform 2
- Red Hat Red Hat OpenShift AI (RHOAI)
Classification
- Weakness
-
- CWE-290 Authentication Bypass by Spoofing
References
-
github.com
/BerriAI/litellm/security/advisories/GHSA-4xpc-pv4p-pm3w
web, mitigation, patch, vendor-advisory, advisory
-
github.com
/BerriAI/litellm/releases/tag/v1.84.0
web, product, release-notes
-
access.redhat.com
/security/cve/CVE-2026-49468
vdb-entry, web
-
bugzilla.redhat.com
/show_bug.cgi?id=2491520
issue-tracking, web
-
security.access.redhat.com
/data/csaf/v2/vex/2026/cve-2026-49468.json
web
-
nvd.nist.gov
/vuln/detail/CVE-2026-49468
advisory
-
github.com
/BerriAI/litellm
package
-
github.com
/advisories/GHSA-4xpc-pv4p-pm3w
advisory
-
github.com
/pypa/advisory-database/tree/main/vulns/litellm/PYSEC-2026-388.yaml
web
-
pypi.org
/project/litellm
web, package
Sources
- CVE List CVE-2026-49468
- GitHub Advisory GHSA-4xpc-pv4p-pm3w
- NVD CVE-2026-49468
- OSV PYSEC-2026-388
- Maintainer advisory GHSA-4xpc-pv4p-pm3w
Fencer Intel 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.
The maintainers of BerriAI/litellm published their own advisory on GitHub. Reviewed sources take precedence over it.