CVE-2021-31805 (GCVE-0-2021-31805)
Vulnerability from cvelistv5 – Published: 2022-04-12 15:25 – Updated: 2024-08-03 23:10Title
Forced OGNL evaluation, when evaluated on raw not validated user input in tag attributes, may lead to RCE.
Summary
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.
Severity
9.8 (Critical)
CWE
- CWE-917 - Improper Neutralization of Special Elements used in an Expression Language Statement ('Expression Language Injection')
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://cwiki.apache.org/confluence/display/WW/S2-062 | x_refsource_MISC |
| http://www.openwall.com/lists/oss-security/2022/04/12/6 | mailing-listx_refsource_MLIST |
| https://www.oracle.com/security-alerts/cpujul2022.html | x_refsource_MISC |
| https://security.netapp.com/advisory/ntap-2022042… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Apache Software Foundation | Apache Struts |
Affected:
2.0.0 to 2.5.29
|
guessed |
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: c2c8b36a-5c58-4d4c-9ffe-883b8202bcbb
Exploited: Yes
Timestamps
First Seen: 2026-06-12
Asserted: 2026-06-12
Scope
Notes: KEVIntel entry: Forced OGNL evaluation, when evaluated on raw not validated user input in tag attributes, may lead to RCE. | Affected: Apache Software Foundation / Apache Struts | CVSS: 9.8 (CRITICAL) | EPSS: 0.85101 | Used in malware: unknown | Not yet in CISA KEV: True
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: kevintel
Details
| Feed | KEVIntel (kevintel.com) |
|---|---|
| Title | Forced OGNL evaluation, when evaluated on raw not validated user input in tag attributes, may lead to RCE. |
| Vendor | Apache Software Foundation |
| Product | Apache Struts |
| Added Date | 2026-06-12T00:32:51.325Z |
| Cvss Score | 9.8 |
| Epss Score | 0.85101 |
| Cvss Severity | CRITICAL |
| Epss Percentile | 0.99684 |
| Used In Malware | unknown |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | True |
References
Created: 2026-06-19 12:42 UTC
| Updated: 2026-06-19 12:42 UTC
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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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