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CVE-2017-7544 (GCVE-0-2017-7544)

Vulnerability from cvelistv5 – Published: 2017-09-21 20:00 – Updated: 2024-08-05 16:04
VLAI
Summary
libexif through 0.6.21 is vulnerable to out-of-bounds heap read vulnerability in exif_data_save_data_entry function in libexif/exif-data.c caused by improper length computation of the allocated data of an ExifMnote entry which can cause denial-of-service or possibly information disclosure.
Severity
9.1 (Critical)
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H
CWE
Assigner
References
URL Tags
https://sourceforge.net/p/libexif/bugs/130/ x_refsource_MISC
https://usn.ubuntu.com/4277-1/ vendor-advisoryx_refsource_UBUNTU
https://lists.debian.org/debian-lts-announce/2020… mailing-listx_refsource_MLIST
http://lists.opensuse.org/opensuse-security-annou… vendor-advisoryx_refsource_SUSE
Impacted products
Vendor Product Version CPE status
Red Hat, Inc. libexif Affected: through 0.6.21
guessed Create a notification for this product.
Date Public
2017-08-14 00:00
Show details on NVD website
To clipboard 

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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

Author Source Type Date Other

Nomenclature

  • 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.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • 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.


Detection rules are retrieved from Rulezet.


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.