CVE-2021-39126 (GCVE-0-2021-39126)
Vulnerability from cvelistv5 – Published: 2021-10-21 02:45 – Updated: 2024-10-10 16:06
VLAI
EPSS
VEX
Summary
Affected versions of Atlassian Jira Server and Data Center allow remote attackers to modify various resources via a Cross-Site Request Forgery (CSRF) vulnerability, following an Information Disclosure vulnerability in the referrer headers which discloses a user's CSRF token. The affected versions are before version 8.5.10, and from version 8.6.0 before 8.13.1.
Severity
No CVSS data available.
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-10-10 16:05 UTC
CWE
- Cross-Site Request Forgery (CSRF)
- Information Disclosure
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://jira.atlassian.com/browse/JRASERVER-71806 | x_refsource_MISC |
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Atlassian | Jira Server |
Affected:
unspecified , < 8.5.10
(custom)
Affected: 8.6.0 , < unspecified (custom) Affected: unspecified , < 8.13.1 (custom) |
guessed | |
| Atlassian | Jira Data Center |
Affected:
unspecified , < 8.5.10
(custom)
Affected: 8.6.0 , < unspecified (custom) Affected: unspecified , < 8.13.1 (custom) |
guessed |
Date Public
2021-09-14 00:00
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"url": "https://jira.atlassian.com/browse/JRASERVER-71806"
}
]
}
}
}
},
"cveMetadata": {
"assignerOrgId": "f08a6ab8-ed46-4c22-8884-d911ccfe3c66",
"assignerShortName": "atlassian",
"cveId": "CVE-2021-39126",
"datePublished": "2021-10-21T02:45:15.829Z",
"dateReserved": "2021-08-16T00:00:00.000Z",
"dateUpdated": "2024-10-10T16:06:08.753Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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