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VulnerabilityPublished Updated

CVE-2026-96272: MacWarrior clipbucket-v5 · SQL Injection

Affects MacWarrior clipbucket-v5Source CVE Database V5

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Not known to be exploited · CVSS 8.7 High : upgrade to 5.5.3-#182 soon.

Data as of 5 Nov 2026, 23:24 UTC

CVSS 4.0 base score
8.7High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.4% chance of exploitation in 30 days – higher than 36% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 5.5.3-#182
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 23 Sep 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 6 Nov 2026.

What to do

Upgrade MacWarrior clipbucket-v5 to 5.5.3-#182.

Affected software

ProductAffectedFixed in
MacWarriorclipbucket-v5Affected
  • =0
Fixed in
  • 5.5.3-#182
GitHubclipbucket-v5pkg:github/clipbucket-v5Other threatsAffected
  • =0
Fixed in–

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

A fix is available in ClipBucket v5.5.3-#182. Users should upgrade to version 5.5.3-#182 or later to remediate this vulnerability. No other mitigation guidance is provided.

Description

ClipBucket v5 before 5.5.3-#182 has a blind SQL injection vulnerability in its photo search endpoint. The vulnerability arises because a query parameter is unsanitized and used directly in SQL WHERE and ORDER BY clauses. This allows unauthenticated attackers to perform time-based blind SQL injection attacks to extract sensitive information such as user credentials, email addresses, and administrator password hashes, potentially leading to account takeover.

References

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