FKIE_CVE-2026-76959
Vulnerability from fkie_nvd - Published: 2026-09-08 01:17 - Updated: 2026-09-08 01:17
Severity
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.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "SAP S/4HANA (Finance for Advanced Payment Management)",
"vendor": "SAP_SE",
"versions": [
{
"status": "affected",
"version": "UIAPFI70 800"
},
{
"status": "affected",
"version": "900"
},
{
"status": "affected",
"version": "901"
},
{
"status": "affected",
"version": "902"
}
]
}
],
"source": "cna@sap.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "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."
}
],
"id": "CVE-2026-76959",
"lastModified": "2026-09-08T01:17:54.560",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.6,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:L/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.1,
"impactScore": 2.5,
"source": "cna@sap.com",
"type": "Primary"
}
]
},
"published": "2026-09-08T01:17:54.560",
"references": [
{
"source": "cna@sap.com",
"url": "https://me.sap.com/notes/3365311"
},
{
"source": "cna@sap.com",
"url": "https://url.sap/sapsecuritypatchday"
}
],
"sourceIdentifier": "cna@sap.com",
"vulnStatus": "Received",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-352"
}
],
"source": "cna@sap.com",
"type": "Primary"
}
]
}
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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.
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.
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