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CVE-2026-58471 (GCVE-0-2026-58471)

Vulnerability from cvelistv5 – Published: 2026-07-07 19:47 – Updated: 2026-07-14 22:03 X_Open Source
VLAI
Title
GNU Wget 1.25.0 Heap Buffer Overflow via convert_fname() in url.c
Summary
GNU Wget through 1.25.0, fixed in commit c2640fe, contains a heap buffer overflow vulnerability in the convert_fname() function within src/url.c that allows remote attackers to trigger memory corruption through a server-supplied filename requiring character set conversion. When the output buffer is too small during iconv E2BIG reallocation, the reallocation logic miscalculates the remaining space, leading to a heap buffer overflow that can be exploited via a maliciously crafted server response.
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-07 20:32 UTC
CWE
  • CWE-122 - Heap-based Buffer Overflow
Impacted products
Vendor Product Version CPE status
gnuwget wget Affected: 0 , ≤ 1.25.0 (semver)
Unaffected: c2640fe5171c59f87c58dc9fcb195b2d18b010ee (git)
    cpe:2.3:a:gnu:wget:*:*:*:*:*:*:*:*
Create a notification for this product.
Date Public
2026-01-13 00:00
Show details on NVD website

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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

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  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
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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.

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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.


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