CVE-2018-15979 (GCVE-0-2018-15979)

Vulnerability from cvelistv5 – Published: 2018-11-29 20:00 – Updated: 2024-08-05 10:10
VLAI
Summary
Adobe Acrobat and Reader versions 2019.008.20080 and earlier, 2017.011.30105 and earlier, and 2015.006.30456 and earlier have a ntlm sso hash theft vulnerability. Successful exploitation could lead to information disclosure.
Severity
7.5 (High)
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
CWE
  • NTLM SSO hash theft
Assigner
References
URL Tags
https://helpx.adobe.com/security/products/acrobat… x_refsource_CONFIRM
http://www.securityfocus.com/bid/105907 vdb-entryx_refsource_BID
http://www.securitytracker.com/id/1042099 vdb-entryx_refsource_SECTRACK
Impacted products
Vendor Product Version CPE status
Adobe Adobe Acrobat and Reader Affected: 2019.008.20080 and earlier, 2017.011.30105 and earlier, and 2015.006.30456 and earlier versions
guessed Create a notification for this product.
Date Public
2018-11-29 00:00
Show details on NVD website
To clipboard 

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Taxonomy of the tags.





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.