CVE-2026-58472 (GCVE-0-2026-58472)

Vulnerability from cvelistv5 – Published: 2026-07-07 19:50 – Updated: 2026-07-14 22:03 X_Open Source
VLAI
Title
GNU Wget 1.25.0 Heap Buffer Overflow via HTML Attribute Encoding
Summary
GNU Wget through 1.25.0, fixed in commit dd692d9, contains a heap buffer overflow vulnerability in the html_quote_string() function in src/convert.c that allows a remote attacker to trigger memory corruption by supplying a crafted HTML attribute with a large number of characters requiring entity encoding. A server-supplied HTML attribute causes a signed integer counter to overflow during output size accumulation, resulting in an undersized heap allocation and subsequent heap buffer overflow during the copy phase.
Severity
6 (Medium)
CVSS:4.0/AV:N/AC:H/AT:N/PR:N/UI:P/VC:N/VI:L/VA:H/SC:N/SI:N/SA:N
5.9 (Medium)
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:N/I:L/A:H
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-08 13:45 UTC
CWE
  • CWE-190 - Integer Overflow or Wraparound
Assigner
VulnCheck CNA under the mitre root
CNA scorecard B 84/100 over 7131 records in the last 180 days details
References
Impacted products
Vendor Product Version CPE status
gnuwget wget Affected: 0 , ≤ 1.25.0 (semver)
Unaffected: dd692d9cea5335b181d877ae917fe6e75587a812 (git)
    cpe:2.3:a:gnu:wget:*:*:*:*:*:*:*:*
Create a notification for this product.
Date Public
2026-06-29 00:00
Credits
Tristan Madani
Show details on NVD website
To clipboard 

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  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

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    Related by attack behaviour

    Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.