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CVE-2026-34031 Apache CVE debrief

CVE-2026-34031 is a Unrestricted Upload of File with Dangerous Type vulnerability in Apache Answer through 2.0.0. The server did not sufficiently validate user-supplied image URLs, allowing arbitrary external content to be embedded as profile images, which could expose users to unintended external requests and tracking by third-party servers. Users are recommended to upgrade to version 2.0.1, which fixes the issue.

Vendor
Apache
Product
Answer
CVSS
MEDIUM 6.5
CISA KEV
Not listed in stored evidence
Original CVE published
2026-06-09
Original CVE updated
2026-06-10
Advisory published
2026-06-09
Advisory updated
2026-06-10

Who should care

Users of Apache Answer through version 2.0.0

Technical summary

The CVSS score for this vulnerability is 6.5, with a severity rating of MEDIUM. The vulnerability is described as a Unrestricted Upload of File with Dangerous Type issue in Apache Answer through 2.0.0. This issue allows an attacker to embed arbitrary external content as profile images, potentially exposing users to unintended external requests and tracking by third-party servers.

Defensive priority

MEDIUM

Recommended defensive actions

  • Upgrade to version 2.0.1 of Apache Answer

Evidence notes

The CVE-2026-34031 vulnerability was published on [cvePublishedAt] and modified on [cveModifiedAt]. The vulnerability affects Apache Answer through version 2.0.0 and has been fixed in version 2.0.1.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-34031 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-34031

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-34031 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-34031

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.