GSD-2021-31805
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
The fix issued for CVE-2020-17530 was incomplete. So from Apache Struts 2.0.0 to 2.5.29, still some of the tag’s attributes could perform a double evaluation if a developer applied forced OGNL evaluation by using the %{...} syntax. Using forced OGNL evaluation on untrusted user input can lead to a Remote Code Execution and security degradation.
Aliases
Aliases
{
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"alias": "CVE-2021-31805",
"description": "The fix issued for CVE-2020-17530 was incomplete. So from Apache Struts 2.0.0 to 2.5.29, still some of the tag\u2019s attributes could perform a double evaluation if a developer applied forced OGNL evaluation by using the %{...} syntax. Using forced OGNL evaluation on untrusted user input can lead to a Remote Code Execution and security degradation.",
"id": "GSD-2021-31805",
"references": [
"https://www.suse.com/security/cve/CVE-2021-31805.html"
]
},
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"remediation": "unknown",
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"value": "Avoid using forced OGNL evaluation on untrusted user input, and/or upgrade to Struts 2.5.30 which checks if expression evaluation won\u2019t lead to the double evaluation.\n\nPlease read our Security Bulletin S2-062 for more details."
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"affected_range": "[2.0.0,2.5.29]",
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"cwe_ids": [
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"CWE-917",
"CWE-937"
],
"date": "2022-07-25",
"description": "The fix issued for CVE-2020-17530 was incomplete. So from Apache Struts 2.0.0 to 2.5.29, still some of the tag\u2019s attributes could perform a double evaluation if a developer applied forced OGNL evaluation by using the %{...} syntax. Using forced OGNL evaluation on untrusted user input can lead to a Remote Code Execution and security degradation.",
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"package_slug": "maven/org.apache.struts/struts2-config-browser-plugin",
"pubdate": "2022-04-12",
"solution": "Upgrade to version 2.5.30 or above.",
"title": "Improper Neutralization of Special Elements used in an Expression Language Statement (\u0027Expression Language Injection\u0027)",
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"date": "2022-07-25",
"description": "The fix issued for CVE-2020-17530 was incomplete. So from Apache Struts 2.0.0 to 2.5.29, still some of the tag\u2019s attributes could perform a double evaluation if a developer applied forced OGNL evaluation by using the %{...} syntax. Using forced OGNL evaluation on untrusted user input can lead to a Remote Code Execution and security degradation.",
"fixed_versions": [
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"package_slug": "maven/org.apache.struts/struts2-convention-plugin",
"pubdate": "2022-04-12",
"solution": "Upgrade to version 2.5.30 or above.",
"title": "Improper Neutralization of Special Elements used in an Expression Language Statement (\u0027Expression Language Injection\u0027)",
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"description": "The fix issued for CVE-2020-17530 was incomplete. So from Apache Struts 2.0.0 to 2.5.29, still some of the tag\u2019s attributes could perform a double evaluation if a developer applied forced OGNL evaluation by using the %{...} syntax. Using forced OGNL evaluation on untrusted user input can lead to a Remote Code Execution and security degradation.",
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"pubdate": "2022-04-12",
"solution": "Upgrade to version 2.5.30 or above.",
"title": "Improper Neutralization of Special Elements used in an Expression Language Statement (\u0027Expression Language Injection\u0027)",
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"date": "2022-07-25",
"description": "The fix issued for CVE-2020-17530 was incomplete. So from Apache Struts 2.0.0 to 2.5.29, still some of the tag\u2019s attributes could perform a double evaluation if a developer applied forced OGNL evaluation by using the %{...} syntax. Using forced OGNL evaluation on untrusted user input can lead to a Remote Code Execution and security degradation.",
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"package_slug": "maven/org.apache.struts/struts2-rest-plugin",
"pubdate": "2022-04-12",
"solution": "Upgrade to version 2.5.30 or above.",
"title": "Improper Neutralization of Special Elements used in an Expression Language Statement (\u0027Expression Language Injection\u0027)",
"urls": [
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"https://cwiki.apache.org/confluence/display/WW/S2-062",
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"date": "2022-07-25",
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"lastModifiedDate": "2022-07-25T18:15Z",
"publishedDate": "2022-04-12T16:15Z"
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}
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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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