CVE-2022-23540 (GCVE-0-2022-23540)
Vulnerability from cvelistv5 – Published: 2022-12-22 18:02 – Updated: 2025-02-13 16:32
VLAI
EPSS
VEX
Title
jsonwebtoken vulnerable to signature validation bypass due to insecure default algorithm in jwt.verify()
Summary
In versions `<=8.5.1` of `jsonwebtoken` library, lack of algorithm definition in the `jwt.verify()` function can lead to signature validation bypass due to defaulting to the `none` algorithm for signature verification. Users are affected if you do not specify algorithms in the `jwt.verify()` function. This issue has been fixed, please update to version 9.0.0 which removes the default support for the none algorithm in the `jwt.verify()` method. There will be no impact, if you update to version 9.0.0 and you don’t need to allow for the `none` algorithm. If you need 'none' algorithm, you have to explicitly specify that in `jwt.verify()` options.
Severity
6.4 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-07-16 16:23 UTC
CWE
- CWE-287 - Improper Authentication
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/auth0/node-jsonwebtoken/securi… | x_refsource_CONFIRM |
| https://github.com/auth0/node-jsonwebtoken/commit… | x_refsource_MISC |
| https://security.netapp.com/advisory/ntap-2024062… |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| auth0 | node-jsonwebtoken |
Affected:
<= 8.5.1
|
guessed |
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},
{
"name": "https://github.com/auth0/node-jsonwebtoken/commit/e1fa9dcc12054a8681db4e6373da1b30cf7016e3",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/auth0/node-jsonwebtoken/commit/e1fa9dcc12054a8681db4e6373da1b30cf7016e3"
},
{
"url": "https://security.netapp.com/advisory/ntap-20240621-0007/"
}
],
"source": {
"advisory": "GHSA-qwph-4952-7xr6",
"discovery": "UNKNOWN"
},
"title": "jsonwebtoken vulnerable to signature validation bypass due to insecure default algorithm in jwt.verify()"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2022-23540",
"datePublished": "2022-12-22T18:02:24.770Z",
"dateReserved": "2022-01-19T21:23:53.795Z",
"dateUpdated": "2025-02-13T16:32:21.578Z",
"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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