GSD-2007-5003
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
Multiple stack-based buffer overflows in CA (Computer Associates) BrightStor ARCserve Backup for Laptops and Desktops r11.0 through r11.5 allow remote attackers to execute arbitrary code via a long (1) username or (2) password to the rxrLogin command in rxRPC.dll, or a long (3) username argument to the GetUserInfo function.
Aliases
Aliases
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"description": "Multiple stack-based buffer overflows in CA (Computer Associates) BrightStor ARCserve Backup for Laptops and Desktops r11.0 through r11.5 allow remote attackers to execute arbitrary code via a long (1) username or (2) password to the rxrLogin command in rxRPC.dll, or a long (3) username argument to the GetUserInfo function.",
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"modified": "2023-12-13T01:21:41.328977Z",
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"impact": {
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"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 10.0,
"confidentialityImpact": "COMPLETE",
"integrityImpact": "COMPLETE",
"vectorString": "AV:N/AC:L/Au:N/C:C/I:C/A:C",
"version": "2.0"
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"exploitabilityScore": 10.0,
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"obtainAllPrivilege": true,
"obtainOtherPrivilege": false,
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"severity": "HIGH",
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},
"lastModifiedDate": "2021-04-08T13:31Z",
"publishedDate": "2007-10-01T20:17Z"
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}
}
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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.
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- 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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