CVE-2017-1000408 (GCVE-0-2017-1000408)
Vulnerability from cvelistv5 – Published: 2018-02-01 04:00 – Updated: 2024-08-05 22:00
VLAI
EPSS
VEX
Summary
A memory leak in glibc 2.1.1 (released on May 24, 1999) can be reached and amplified through the LD_HWCAP_MASK environment variable. Please note that many versions of glibc are not vulnerable to this issue if patched for CVE-2017-1000366.
Severity
7.8 (High)
CWE
- n/a
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://www.exploit-db.com/exploits/43331/ | exploitx_refsource_EXPLOIT-DB |
| http://seclists.org/oss-sec/2017/q4/385 | mailing-listx_refsource_MLIST |
| https://security.netapp.com/advisory/ntap-2019040… | x_refsource_CONFIRM |
| http://www.openwall.com/lists/oss-security/2019/06/27/7 | mailing-listx_refsource_MLIST |
| http://www.openwall.com/lists/oss-security/2019/06/28/1 | mailing-listx_refsource_MLIST |
| http://www.openwall.com/lists/oss-security/2019/06/28/2 | mailing-listx_refsource_MLIST |
Date Public
2018-01-31 00:00
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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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