CVE-2022-35224 (GCVE-0-2022-35224)
Vulnerability from cvelistv5 – Published: 2022-07-12 20:30 – Updated: 2024-08-03 09:29
VLAI
EPSS
VEX
Summary
SAP Enterprise Portal - versions 7.10, 7.11, 7.20, 7.30, 7.31, 7.40, 7.50, does not sufficiently encode user-controlled inputs, resulting in Cross-Site Scripting (XSS) vulnerability. This attack can be used to non-permanently deface or modify portal content. The execution of script content by a victim registered on the portal could compromise the confidentiality and integrity of victim�s web browser session.
Severity
6.1 (Medium)
CWE
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://www.sap.com/documents/2022/02/fa865ea4-16… | x_refsource_MISC |
| https://launchpad.support.sap.com/#/notes/3210779 | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| SAP SE | SAP Enterprise Portal |
Affected:
7.10
Affected: 7.11 Affected: 7.20 Affected: 7.30 Affected: 7.31 Affected: 7.40 Affected: 7.50 |
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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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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