CVE-2026-0512 (GCVE-0-2026-0512)

Vulnerability from cvelistv5 – Published: 2026-04-14 00:06 – Updated: 2026-04-14 13:14
VLAI
Title
Cross-Site Scripting (XSS) vulnerability in SAP Supplier Relationship Management (SICF Handler in SRM Catalog)
Summary
Due to a Cross-Site Scripting (XSS) vulnerability in the SAP Supplier Relationship Management (SICF Handler in SRM Catalog), an unauthenticated attacker could craft a malicious URL, that if accessed by a victim, results in execution of malicious content within the victim's browser. This could allow the attacker to access and modify information, impacting the confidentiality and integrity of the application, while availability remains unaffected.
Severity
6.1 (Medium)
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-04-14 12:57 UTC
CWE
  • CWE-79 - Improper Neutralization of Input During Web Page Generation
Assigner
References
Impacted products
Vendor Product Version
SAP_SE SAP Supplier Relationship Management (SICF Handler in SRM Catalog) Affected: SRM_SERVER 702
Affected: 713
Affected: 714
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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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  • 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.