CVE-2025-31328 (GCVE-0-2025-31328)

Vulnerability from cvelistv5 – Published: 2025-04-22 18:25 – Updated: 2025-04-23 15:58
VLAI
Title
Cross-Site Request Forgery (CSRF) vulnerability in SAP S/4 HANA (Learning Solution)
Summary
SAP Learning Solution is vulnerable to Cross-Site Request Forgery (CSRF), allowing an attacker to trick authenticated user into sending unintended requests to the server. GET-based OData function is named in a way that it violates the expected behaviour. This issue could impact both the confidentiality and integrity of the application without affecting the availability.
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 2025-04-22 18:51 UTC
CWE
  • CWE-352 - Cross-Site Request Forgery (CSRF)
Assigner
References
Impacted products
Vendor Product Version CPE status
SAP_SE SAP S/4 HANA (Learning Solution) Affected: S4HCMGXX 100
Affected: 101
guessed Create a notification for this product.
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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.


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.