CVE-2026-58231 (GCVE-0-2026-58231)
Vulnerability from cvelistv5 – Published: 2026-08-11 10:21 – Updated: 2026-08-12 03:59Title
Improper Authorization in SAP Commerce Cloud (Data Hub Adapter)
Summary
SAP Commerce Cloud allows an unauthenticated
attacker to abuse a default authentication client and submit specially crafted
input to certain functions lacking sufficient validation. Successful
exploitation could enable arbitrary code execution and compromise internal
components, resulting in high impact on confidentiality, integrity, and
availability of the application.
Severity
10 (Critical)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-11 00:00 UTC
CWE
- CWE-94 - Improper Control of Generation of Code
Assigner
References
2 references
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| SAP_SE | SAP Commerce Cloud (Data Hub Adapter) |
Affected:
COM_CLOUD 2211
Affected: 2211-JDK21 |
KEVIntel
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 349a1dc8-b7cd-43d7-88fa-165a70b44cd0
Exploited: Yes
Timestamps
First Seen: 2026-08-14
Asserted: 2026-08-14
Scope
Notes: Improper Authorization in SAP Commerce Cloud (Data Hub Adapter) | Affected: SAP_SE / SAP Commerce Cloud (Data Hub Adapter) | CVSS: 10.0 (CRITICAL) | EPSS: 0.00726 | Used in malware: unknown | Not yet in CISA KEV: True
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: kevintel
Details
| Feed | KEVIntel (kevintel.com) |
|---|---|
| Title | Improper Authorization in SAP Commerce Cloud (Data Hub Adapter) |
| Vendor | SAP_SE |
| Product | SAP Commerce Cloud (Data Hub Adapter) |
| Added Date | 2026-08-14T12:59:59.018Z |
| Cvss Score | 10.0 |
| Epss Score | 0.00726 |
| Cvss Severity | CRITICAL |
| Epss Percentile | 0.50866 |
| Used In Malware | unknown |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | True |
References
Created: 2026-08-14 13:00 UTC
| Updated: 2026-08-14 13:00 UTC
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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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