CVE-2021-44533 (GCVE-0-2021-44533)
Vulnerability from cvelistv5 – Published: 2022-02-24 18:27 – Updated: 2025-04-30 22:24
VLAI
EPSS
VEX
Summary
Node.js < 12.22.9, < 14.18.3, < 16.13.2, and < 17.3.1 did not handle multi-value Relative Distinguished Names correctly. Attackers could craft certificate subjects containing a single-value Relative Distinguished Name that would be interpreted as a multi-value Relative Distinguished Name, for example, in order to inject a Common Name that would allow bypassing the certificate subject verification.Affected versions of Node.js that do not accept multi-value Relative Distinguished Names and are thus not vulnerable to such attacks themselves. However, third-party code that uses node's ambiguous presentation of certificate subjects may be vulnerable.
Severity
No CVSS data available.
CWE
- CWE-295 - Improper Certificate Validation (CWE-295)
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://hackerone.com/reports/1429694 | x_refsource_MISC |
| https://nodejs.org/en/blog/vulnerability/jan-2022… | x_refsource_MISC |
| https://www.oracle.com/security-alerts/cpuapr2022.html | x_refsource_MISC |
| https://security.netapp.com/advisory/ntap-2022032… | x_refsource_CONFIRM |
| https://www.debian.org/security/2022/dsa-5170 | vendor-advisoryx_refsource_DEBIAN |
| https://www.oracle.com/security-alerts/cpujul2022.html | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| NodeJS | Node |
Affected:
4.0 , < 4.*
(semver)
Affected: 5.0 , < 5.* (semver) Affected: 6.0 , < 6.* (semver) Affected: 7.0 , < 7.* (semver) Affected: 8.0 , < 8.* (semver) Affected: 9.0 , < 9.* (semver) Affected: 10.0 , < 10.* (semver) Affected: 11.0 , < 11.* (semver) Affected: 12.0 , < 12.22.9 (semver) Affected: 13.0 , < 13.* (semver) Affected: 14.0 , < 14.18.3 (semver) Affected: 15.0 , < 15.* (semver) Affected: 16.0 , < 16.13.2 (semver) Affected: 17.0 , < 17.3.1 (semver) |
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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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