CVE-2019-1010060 (GCVE-0-2019-1010060)
Vulnerability from cvelistv5 – Published: 2019-07-16 12:16 – Updated: 2024-08-05 03:07
VLAI
EPSS
VEX
Summary
NASA CFITSIO prior to 3.43 is affected by: Buffer Overflow. The impact is: arbitrary code execution. The component is: over 40 source code files were changed. The attack vector is: remote unauthenticated attacker. The fixed version is: 3.43. NOTE: this CVE refers to the issues not covered by CVE-2018-3846, CVE-2018-3847, CVE-2018-3848, and CVE-2018-3849. One example is ftp_status in drvrnet.c mishandling a long string beginning with a '4' character.
Severity
9.8 (Critical)
CWE
- Buffer Overflow
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://heasarc.gsfc.nasa.gov/FTP/software/fitsio… | x_refsource_MISC |
| https://github.com/astropy/astropy/pull/7274 | x_refsource_MISC |
| https://bugs.debian.org/cgi-bin/bugreport.cgi?bug… | x_refsource_MISC |
| https://heasarc.gsfc.nasa.gov/FTP/software/fitsio… | x_refsource_MISC |
| https://heasarc.gsfc.nasa.gov/FTP/software/fitsio… | 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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