CVE-2024-41733 (GCVE-0-2024-41733)
Vulnerability from cvelistv5 – Published: 2024-08-13 03:52 – Updated: 2024-08-13 14:48
VLAI
EPSS
VEX
Title
Information Disclosure Vulnerability in SAP Commerce
Summary
In SAP Commerce, valid user accounts can be
identified during the customer registration and login processes. This allows a
potential attacker to learn if a given e-mail is used for an account, but does
not grant access to any customer data beyond this knowledge. The attacker must
already know the e-mail that they wish to test for. The impact on
confidentiality therefore is low and no impact to integrity or availability
Severity
5.3 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-08-13 14:36 UTC
CWE
- CWE-200 - Exposure of Sensitive Information to an Unauthorized Actor
Assigner
References
2 references
Impacted products
3 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| SAP_SE | SAP Commerce |
Affected:
HY_COM 2205
Affected: COM_CLOUD 2211 |
guessed | |
| sap | commerce_cloud |
Affected:
2211
cpe:2.3:a:sap:commerce_cloud:2211:*:*:*:*:*:*:* |
||
| sap | commerce_hycom |
Affected:
2205
cpe:2.3:a:sap:commerce_hycom:2205:*:*:*:*:*:*:* |
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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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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.
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