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CVE-2025-0081VulnerabilityPublished

CVE-2025-0081: Google Android · Denial of service

Affects Google AndroidSource CVE Database V5

0

Not known to be exploited · CVSS 7.5 High.

Data as of 26 Oct 2026, 06:26 UTC

CVSS 3.1 base score
7.5High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.3% chance of exploitation in 30 days – higher than 30% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 26 Aug 2025

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: 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 2026-10-26.

What to do

Affected software

ProductAffectedFixed in
Google AndroidAffected
  • =15
  • =14
  • =13
  • =12
Fixed in–

AI-suggested

Given the lack of an official patch at the time of this report, European organizations should implement several practical mitigations: 1) Restrict or monitor the receipt and processing of DNG image files from untrusted sources, especially in messaging apps, email clients, and web browsers on Android devices. 2) Employ mobile device management (MDM) solutions to enforce policies that limit the installation or execution of untrusted applications that might process such images. 3) Educate users about the risks of opening unsolicited image files, particularly in DNG format, and encourage cautious behavior. 4) Monitor device logs and crash reports for signs of exploitation attempts or unusual application crashes related to image processing. 5) Coordinate with device vendors and Google for timely updates and apply security patches as soon as they become available. 6) Consider network-level filtering or sandboxing of image content where feasible to detect and block malformed or suspicious DNG files. 7) For critical deployments, evaluate the possibility of temporarily disabling or restricting features that automatically process DNG images until patches are applied.

Description

In dng_lossless_decoder::HuffDecode of dng_lossless_jpeg.cpp, there is a possible way to cause a crash due to uninitialized data. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.

References

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