CVE-2022-22932 (GCVE-0-2022-22932)
Vulnerability from cvelistv5 – Published: 2022-01-26 11:10 – Updated: 2024-08-03 03:28
VLAI
EPSS
VEX
Title
Path traversal flaws
Summary
Apache Karaf obr:* commands and run goal on the karaf-maven-plugin have partial path traversal which allows to break out of expected folder. The risk is low as obr:* commands are not very used and the entry is set by user. This has been fixed in revision: https://gitbox.apache.org/repos/asf?p=karaf.git;h=36a2bc4 https://gitbox.apache.org/repos/asf?p=karaf.git;h=52b70cf Mitigation: Apache Karaf users should upgrade to 4.2.15 or 4.3.6 or later as soon as possible, or use correct path. JIRA Tickets: https://issues.apache.org/jira/browse/KARAF-7326
Severity
No CVSS data available.
CWE
- Path traversal flaws
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://karaf.apache.org/security/cve-2022-22932.txt | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Apache Software Foundation | Apache Karaf |
Affected:
Apache Karaf , < 4.2.15
(custom)
|
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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