CVE-2026-111816 (GCVE-0-2026-111816)

Vulnerability from cvelistv5 – Published: 2026-10-21 18:26 – Updated: 2026-10-23 21:22
VLAI
Title
Apache Traffic Server: A malformed 302 response bypasses parse-error rejection through the Transfer-Encoding: chunked carve-out
Summary
Apache Traffic Server forwarded a malformed 302 response that should have been rejected as a parse error, because the Transfer-Encoding: chunked carve-out bypassed the rejection path. A response that two peers can read differently is then stored and served, allowing cache poisoning and response-framing desync. This issue affects Apache Traffic Server: from 8.0.0 through 8.1.11, from 9.0.0 through 9.2.15, from 10.0.0 through 10.1.4, 10.2.0. Users are recommended to upgrade to version 9.2.16, 10.1.5, or 10.2.1, which fix the issue.
Severity
9.3 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:H/A:N
9.2 (Critical)
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:H/VA:N/SC:L/SI:H/SA:N
SSVC
Exploitation: none Automatable: yes Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-23 20:52 UTC
CWE
  • CWE-444 - Inconsistent Interpretation of HTTP Requests
Assigner
apache CNA under the mitre root
CNA scorecard B 76/100 over 1078 records in the last 180 days details
References
Impacted products
Vendor Product Version CPE status
Apache Software Foundation Apache Traffic Server Affected: 8.0.0 , ≤ 8.1.11 (semver)
Affected: 9.0.0 , ≤ 9.2.15 (semver)
Affected: 10.0.0 , ≤ 10.1.4 (semver)
Affected: 10.2.0 (semver)
guessed Create a notification for this product.
Credits
Apache Community OneZ3r0
Show details on NVD website
To clipboard 

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  • 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.
Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

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    Related by attack behaviour

    Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.