CVE-2013-2132 (GCVE-0-2013-2132)
Vulnerability from cvelistv5 – Published: 2013-08-15 17:00 – Updated: 2024-08-06 15:27
VLAI
EPSS
VEX
Summary
bson/_cbsonmodule.c in the mongo-python-driver (aka. pymongo) before 2.5.2, as used in MongoDB, allows context-dependent attackers to cause a denial of service (NULL pointer dereference and crash) via vectors related to decoding of an "invalid DBRef."
Severity
No CVSS data available.
CWE
- n/a
Assigner
References
9 references
| URL | Tags |
|---|---|
| http://lists.opensuse.org/opensuse-updates/2013-0… | vendor-advisoryx_refsource_SUSE |
| http://ubuntu.com/usn/usn-1897-1 | vendor-advisoryx_refsource_UBUNTU |
| http://www.osvdb.org/93804 | vdb-entryx_refsource_OSVDB |
| https://jira.mongodb.org/browse/PYTHON-532 | x_refsource_MISC |
| https://github.com/mongodb/mongo-python-driver/co… | x_refsource_MISC |
| http://seclists.org/oss-sec/2013/q2/447 | mailing-listx_refsource_MLIST |
| http://bugs.debian.org/cgi-bin/bugreport.cgi?bug=710597 | x_refsource_MISC |
| http://www.debian.org/security/2013/dsa-2705 | vendor-advisoryx_refsource_DEBIAN |
| http://www.securityfocus.com/bid/60252 | vdb-entryx_refsource_BID |
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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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