CVE-2025-58754 (GCVE-0-2025-58754)
Vulnerability from cvelistv5 – Published: 2025-09-12 01:16 – Updated: 2026-01-16 14:50
VLAI
EPSS
VEX
Title
Axios is vulnerable to DoS attack through lack of data size check
Summary
Axios is a promise based HTTP client for the browser and Node.js. When Axios starting in version 0.28.0 and prior to versions 0.30.2 and 1.12.0 runs on Node.js and is given a URL with the `data:` scheme, it does not perform HTTP. Instead, its Node http adapter decodes the entire payload into memory (`Buffer`/`Blob`) and returns a synthetic 200 response. This path ignores `maxContentLength` / `maxBodyLength` (which only protect HTTP responses), so an attacker can supply a very large `data:` URI and cause the process to allocate unbounded memory and crash (DoS), even if the caller requested `responseType: 'stream'`. Versions 0.30.2 and 1.12.0 contain a patch for the issue.
Severity
7.5 (High)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-09-12 13:08 UTC
CWE
- CWE-770 - Allocation of Resources Without Limits or Throttling
Assigner
References
8 references
| URL | Tags |
|---|---|
| https://github.com/axios/axios/security/advisorie… | x_refsource_CONFIRM |
| https://github.com/axios/axios/pull/7011 | x_refsource_MISC |
| https://github.com/axios/axios/pull/7034 | x_refsource_MISC |
| https://github.com/axios/axios/commit/945435fc514… | x_refsource_MISC |
| https://github.com/axios/axios/commit/a1b1d3f073a… | x_refsource_MISC |
| https://github.com/axios/axios/commit/c30252f685e… | x_refsource_MISC |
| https://github.com/axios/axios/releases/tag/v0.30.2 | x_refsource_MISC |
| https://github.com/axios/axios/releases/tag/v1.12.0 | x_refsource_MISC |
Impacted products
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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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