CVE-2021-22918 (GCVE-0-2021-22918)
Vulnerability from cvelistv5 – Published: 2021-07-12 00:00 – Updated: 2025-04-30 22:24
VLAI
EPSS
VEX
Summary
Node.js before 16.4.1, 14.17.2, 12.22.2 is vulnerable to an out-of-bounds read when uv__idna_toascii() is used to convert strings to ASCII. The pointer p is read and increased without checking whether it is beyond pe, with the latter holding a pointer to the end of the buffer. This can lead to information disclosures or crashes. This function can be triggered via uv_getaddrinfo().
Severity
5.3 (Medium)
CWE
- CWE-125 - Out-of-bounds Read (CWE-125)
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| 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 , < 12.22.2 (semver) Affected: 13.0 , < 13.* (semver) Affected: 14.0 , < 14.17.2 (semver) Affected: 15.0 , < 15.* (semver) Affected: 16.0 , < 16.4.1 (semver) |
guessed |
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"redhat_vex": {
"aggregate_severity": "Low",
"current_release_date": "2026-06-28T12:00:55+00:00",
"cve": "CVE-2021-22918",
"id": "CVE-2021-22918",
"initial_release_date": "2021-07-01T00:00:00+00:00",
"product_status:fixed": "231",
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"source": "Red Hat CSAF VEX",
"status": "final",
"title": "libuv: out-of-bounds read in uv__idna_toascii() can lead to information disclosures or crashes",
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},
"suse_vex": {
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"cve": "CVE-2021-22918",
"id": "CVE-2021-22918",
"initial_release_date": "2023-02-15T03:45:49Z",
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"product_status:known_not_affected": "146",
"product_status:recommended": "484",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2021-22918",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2021-22918.json",
"version": "21"
}
}
}
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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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