CVE-2025-58174 (GCVE-0-2025-58174)

Vulnerability from cvelistv5 – Published: 2025-09-16 16:29 – Updated: 2025-09-16 18:26
VLAI
Title
LAM profile editor stored cross-site scripting vulnerability
Summary
LDAP Account Manager (LAM) is a webfrontend for managing entries stored in an LDAP directory. LAM before 9.3 allows stored cross-site scripting in the Profile section via the profile name field, which renders untrusted input as HTML and executes a supplied script (for example a script element). An authenticated user with permission to create or edit a profile can insert a script payload into the profile name and have it executed when the profile data is viewed in a browser. This issue is fixed in version 9.3. No known workarounds are mentioned.
Severity
4.6 (Medium)
CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:L/I:L/A:N
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-09-16 17:29 UTC
CWE
  • CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
Impacted products
Vendor Product Version CPE status
LDAPAccountManager lam Affected: < 9.3
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

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