CVE-2026-53756 (GCVE-0-2026-53756)

Vulnerability from cvelistv5 – Published: 2026-09-04 17:46 – Updated: 2026-09-08 17:43
VLAI
Title
Emlog Blind SQL Injection via Authentication Cookie
Summary
Emlog is an open source website building system. Prior to version 2.6.16, Emlog CMS Pro contains a blind SQL injection in User_Model::getUserDataByLogin(). The $account parameter is directly interpolated into SQL queries without any filtering. The vulnerability is reachable through the auth cookie validation path, where $username is extracted from the cookie and passed unfiltered into SQL — guarded only by an HMAC signature that requires AUTH_KEY to forge. This issue has been patched in version 2.6.16.
SSVC
Exploitation: poc Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-08 17:42 UTC
CWE
  • CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Impacted products
Vendor Product Version CPE status
emlog emlog Affected: < 2.6.16
guessed Create a notification for this product.
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

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.

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Detection rules are retrieved from Rulezet.

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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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