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CVE-2015-0537 (GCVE-0-2015-0537)

Vulnerability from cvelistv5 – Published: 2015-08-20 10:00 – Updated: 2024-08-06 04:10
VLAI
Summary
Integer underflow in the base64-decoding implementation in EMC RSA BSAFE Micro Edition Suite (MES) 4.0.x before 4.0.8 and 4.1.x before 4.1.3, RSA BSAFE Crypto-C Micro Edition (Crypto-C ME) before 4.0.4 and 4.1, and RSA BSAFE SSL-C 2.8.9 and earlier allows remote attackers to cause a denial of service (memory corruption or segmentation fault) or possibly have unspecified other impact via crafted base64 data, a similar issue to CVE-2015-0292.
Severity
9.8 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
CWE
  • n/a
Assigner
References
URL Tags
http://seclists.org/bugtraq/2015/Aug/84 mailing-listx_refsource_BUGTRAQ
http://www.securitytracker.com/id/1033299 vdb-entryx_refsource_SECTRACK
http://www.securityfocus.com/bid/76377 vdb-entryx_refsource_BID
Date Public
2015-08-17 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

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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.