GSD-2010-2094
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
Multiple format string vulnerabilities in the phar extension in PHP 5.3 before 5.3.2 allow context-dependent attackers to obtain sensitive information (memory contents) and possibly execute arbitrary code via a crafted phar:// URI that is not properly handled by the (1) phar_stream_flush, (2) phar_wrapper_unlink, (3) phar_parse_url, or (4) phar_wrapper_open_url functions in ext/phar/stream.c; and the (5) phar_wrapper_open_dir function in ext/phar/dirstream.c, which triggers errors in the php_stream_wrapper_log_error function.
Aliases
Aliases
{
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"alias": "CVE-2010-2094",
"description": "Multiple format string vulnerabilities in the phar extension in PHP 5.3 before 5.3.2 allow context-dependent attackers to obtain sensitive information (memory contents) and possibly execute arbitrary code via a crafted phar:// URI that is not properly handled by the (1) phar_stream_flush, (2) phar_wrapper_unlink, (3) phar_parse_url, or (4) phar_wrapper_open_url functions in ext/phar/stream.c; and the (5) phar_wrapper_open_dir function in ext/phar/dirstream.c, which triggers errors in the php_stream_wrapper_log_error function.",
"id": "GSD-2010-2094",
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"remediation": "unknown",
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"modified": "2023-12-13T01:21:31.337362Z",
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"url": "http://php-security.org/2010/05/14/mops-2010-025-php-phar_wrapper_open_dir-format-string-vulnerability/index.html"
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"name": "http://php-security.org/2010/05/14/mops-2010-026-php-phar_wrapper_unlink-format-string-vulnerability/index.html",
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"url": "http://php-security.org/2010/05/14/mops-2010-026-php-phar_wrapper_unlink-format-string-vulnerability/index.html"
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"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 6.8,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": true
}
},
"lastModifiedDate": "2011-01-26T06:48Z",
"publishedDate": "2010-05-27T22:30Z"
}
}
}
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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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