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PatchSiren cyber security CVE debrief

CVE-2026-96272 MacWarrior CVE debrief

CVE-2026-96272 is a blind SQL injection vulnerability in ClipBucket v5 before 5.5.3-#182. The vulnerability exists in the photo search endpoint, where the query parameter is passed unsanitized into SQL WHERE and ORDER BY clauses. This allows unauthenticated attackers to exploit time-based blind SQL injection techniques to extract user credentials, email addresses, and administrator password hashes for account takeover.

Vendor
MacWarrior
Product
clipbucket-v5
CVSS
HIGH 8.7
CISA KEV
Not listed in stored evidence
Original CVE published
2026-09-23
Original CVE updated
2026-09-26
Advisory published
2026-09-23
Advisory updated
2026-09-26

Who should care

Defenders responsible for ClipBucket installations, particularly those using versions before 5.5.3-#182, should assess exposure and prioritize patching or mitigation. This involves reviewing system configurations, verifying the presence of vulnerable versions, and implementing necessary security measures to prevent exploitation. Additionally, defenders should verify the effectiveness of these efforts and monitor for suspicious activity.

Why it matters

CVE-2026-96272 is a blind SQL injection vulnerability in ClipBucket v5 before 5.5.3-#182, allowing unauthenticated attackers to extract sensitive information and potentially leading to account takeover. Defenders should prioritize patching or mitigation, and verify the effectiveness of these efforts.

  • Potential extraction of user credentials, email addresses, and administrator password hashes
  • Unauthenticated exploitation of the vulnerability
  • Account takeover through exploitation of extracted sensitive information
  • Verification of patching and mitigation efforts is necessary

Technical summary

The vulnerability exists in the photo search endpoint of ClipBucket v5 before 5.5.3-#182, where the query parameter is passed unsanitized into SQL WHERE and ORDER BY clauses. This allows unauthenticated attackers to exploit time-based blind SQL injection techniques to extract sensitive information, including user credentials, email addresses, and administrator password hashes, potentially leading to account takeover. Defenders should prioritize patching or mitigating this vulnerability, as it allows for unauthenticated exploitation and could lead to account takeover.

Defensive priority

Defenders should prioritize patching or mitigating this vulnerability, as it allows for unauthenticated exploitation and could lead to account takeover.

Recommended defensive actions

  • Patch ClipBucket to version 5.5.3-#182 or later
  • Implement input validation and sanitization for the photo search endpoint
  • Monitor for suspicious activity and potential exploitation attempts
  • Verify the effectiveness of patching and mitigation efforts
  • Review compensating controls for exposed systems while remediation is scheduled and verified
  • Check relevant monitoring, detection, and logs for exposed assets that need extra review
  • Track exceptions, retest remediated assets, and close the item only after evidence is documented

Evidence notes

The CVE record and NVD entry provide details on the vulnerability, including its existence in ClipBucket v5 before 5.5.3-#182 and the potential for unauthenticated exploitation. However, the exact scope of affected versions and systems requires further verification.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-96272 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-96272

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

  • CVE-2026-96272 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-96272

    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.