CVE-2021-45105 (GCVE-0-2021-45105)
Vulnerability from cvelistv5 – Published: 2021-12-18 11:55 – Updated: 2026-05-29 11:45
VLAI
EPSS
VEX
Title
Apache Log4j2 does not always protect from infinite recursion in lookup evaluation
Summary
Apache Log4j2 versions 2.0-alpha1 through 2.16.0 (excluding 2.12.3 and 2.3.1) did not protect from uncontrolled recursion from self-referential lookups. This allows an attacker with control over Thread Context Map data to cause a denial of service when a crafted string is interpreted. This issue was fixed in Log4j 2.17.0, 2.12.3, and 2.3.1.
Severity
5.9 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-05-29 11:45 UTC
Assigner
References
13 references
| URL | Tags |
|---|---|
| https://logging.apache.org/log4j/2.x/security.html | x_refsource_MISC |
| https://psirt.global.sonicwall.com/vuln-detail/SN… | x_refsource_CONFIRM |
| https://www.kb.cert.org/vuls/id/930724 | third-party-advisoryx_refsource_CERT-VN |
| https://tools.cisco.com/security/center/content/C… | vendor-advisoryx_refsource_CISCO |
| http://www.openwall.com/lists/oss-security/2021/12/19/1 | mailing-listx_refsource_MLIST |
| https://www.debian.org/security/2021/dsa-5024 | vendor-advisoryx_refsource_DEBIAN |
| https://cert-portal.siemens.com/productcert/pdf/s… | x_refsource_CONFIRM |
| https://security.netapp.com/advisory/ntap-2021121… | x_refsource_CONFIRM |
| https://www.zerodayinitiative.com/advisories/ZDI-… | x_refsource_MISC |
| https://cert-portal.siemens.com/productcert/pdf/s… | x_refsource_CONFIRM |
| https://www.oracle.com/security-alerts/cpujan2022.html | x_refsource_MISC |
| https://www.oracle.com/security-alerts/cpuapr2022.html | x_refsource_MISC |
| https://www.oracle.com/security-alerts/cpujul2022.html | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Apache Software Foundation | Apache Log4j2 |
Affected:
log4j-core , < 2.17.0
(custom)
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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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