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VulnerabilityPublished Updated

CVE-2026-93018: Imager (Perl module) · Use of Uninitialized Resource

Affects Imager (Perl module)Source CVE Database V5

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Not known to be exploited · CVSS 5.5 Medium : upgrade to 1.036 when convenient.

Data as of 2 Nov 2026, 22:58 UTC

CVSS 3.1 base score
5.5Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.1% chance of exploitation in 30 days – higher than 7% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 1.036
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 18 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 2 Nov 2026.

What to do

Upgrade Imager (Perl module) to 1.036.

Affected software

ProductAffectedFixed in
CPANImagerpkg:cpan/ImagerOther threatsAffected
  • <1.036
Fixed in
  • 1.036

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

AI-suggested

If you cannot patch yet, avoid processing untrusted paletted images with Imager versions prior to 1.036 to prevent potential memory disclosure.

Description

Imager versions before 1.036 for Perl contain a vulnerability where reading a paletted image with pixel indexes beyond the color map causes uninitialized heap memory disclosure. The palette is allocated without initialization, and pixel indexes equal to the palette size read unpopulated entries, leaking prior heap contents. This occurs when reading attacker-supplied images and then fetching pixels or converting them to RGB.

References

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