CVE-2021-3749 (GCVE-0-2021-3749)
Vulnerability from cvelistv5 – Published: 2021-08-31 10:36 – Updated: 2024-08-03 17:09
VLAI
EPSS
VEX
Title
Inefficient Regular Expression Complexity in axios/axios
Summary
axios is vulnerable to Inefficient Regular Expression Complexity
Severity
7.5 (High)
CWE
- CWE-1333 - Inefficient Regular Expression Complexity
Assigner
References
14 references
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| axios | axios/axios |
Affected:
unspecified , ≤ 0.21.1
(custom)
|
guessed |
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"published": "2021-08-31T11:15:07.890",
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"sourceIdentifier": "security@huntr.dev",
"vulnStatus": "Modified",
"weaknesses": "[{\"source\": \"security@huntr.dev\", \"type\": \"Primary\", \"description\": [{\"lang\": \"en\", \"value\": \"CWE-1333\"}]}, {\"source\": \"nvd@nist.gov\", \"type\": \"Secondary\", \"description\": [{\"lang\": \"en\", \"value\": \"CWE-400\"}]}]"
},
"nvd": "{\"cve\":{\"id\":\"CVE-2021-3749\",\"sourceIdentifier\":\"security@huntr.dev\",\"published\":\"2021-08-31T11:15:07.890\",\"lastModified\":\"2026-06-17T04:05:41.550\",\"vulnStatus\":\"Modified\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"axios is vulnerable to Inefficient Regular Expression Complexity\"},{\"lang\":\"es\",\"value\":\"axios es vulnerable a una Complejidad de Expresi\u00f3n Regular 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"redhat_vex": {
"aggregate_severity": "Moderate",
"current_release_date": "2026-01-28T22:14:04+00:00",
"cve": "CVE-2021-3749",
"id": "CVE-2021-3749",
"initial_release_date": "2021-08-31T00:00:00+00:00",
"product_status:fixed": "11",
"product_status:known_affected": "19",
"product_status:known_not_affected": "597",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "nodejs-axios: Regular expression denial of service in trim function",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2021/cve-2021-3749.json",
"version": "3"
}
}
}
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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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