CVE-2021-22498 (GCVE-0-2021-22498)
Vulnerability from cvelistv5 – Published: 2021-01-19 15:56 – Updated: 2024-08-03 18:44
VLAI
EPSS
VEX
Summary
XML External Entity Injection vulnerability in Micro Focus Application Lifecycle Management (Previously known as Quality Center) product. The vulnerability affects versions 12.x, 12.60 Patch 5 and earlier, 15.0.1 Patch 2 and earlier and 15.5. The vulnerability could be exploited to allow an XML External Entity Injection.
Severity
8.1 (High)
CWE
- XML External Entity Injection.
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://softwaresupport.softwaregrp.com/doc/KM03771781 | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| n/a | Application Lifecycle Management ( Previously known as Quality Center ). |
Affected:
Affected versions are: 12.x, 12.60 Patch 5 and earlier, 15.0.1 Patch 2 and earlier and 15.5.
|
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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
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