CVE-2017-14508 (GCVE-0-2017-14508)

Vulnerability from cvelistv5 – Published: 2017-09-17 21:00 – Updated: 2024-08-05 19:27
VLAI
Summary
An issue was discovered in SugarCRM before 7.7.2.3, 7.8.x before 7.8.2.2, and 7.9.x before 7.9.2.0 (and Sugar Community Edition 6.5.26). Several areas have been identified in the Documents and Emails module that could allow an authenticated user to perform SQL injection, as demonstrated by a backslash character at the end of a bean_id to modules/Emails/DetailView.php. An attacker could exploit these vulnerabilities by sending a crafted SQL request to the affected areas. An exploit could allow the attacker to modify the SQL database. Proper SQL escaping has been added to prevent such exploits.
Severity
8.8 (High)
CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
CWE
  • n/a
Assigner
mitre CNA under the mitre root
CNA scorecard E 27/100 over 2318 records in the last 180 days details
References
Date Public
2017-09-17 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.



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.