CVE-2026-76960 (GCVE-0-2026-76960)
Vulnerability from cvelistv5 – Published: 2026-09-08 00:11 – Updated: 2026-09-08 10:34
VLAI
EPSS
VEX
Title
Cross-Site Request Forgery (CSRF) vulnerability in SAP S/4HANA (Finance for Advanced Payment Management)
Summary
SAP S/4HANA Finance (Advanced Payment Management) does not perform sufficient Cross-Site Request Forgery protection on certain requests, due to this an attacker with low privileges could craft a malicious link or page. If an authenticated victim interacts with it, unintended actions could be triggered on the web server on their behalf. This results in a low impact on confidentiality and integrity. There is no impact on availability.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-08 10:01 UTC
CWE
- CWE-352 - Cross-Site Request Forgery
Assigner
References
2 references
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| SAP_SE | SAP S/4HANA (Finance for Advanced Payment Management) |
Affected:
S4CORE 105
Affected: 106 Affected: 107 |
guessed |
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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