GSD-2007-0185
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
Getahead Direct Web Remoting (DWR) before 1.1.4 allows attackers to cause a denial of service (memory exhaustion and servlet outage) via unknown vectors related to a large number of calls in a batch.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2007-0185",
"description": "Getahead Direct Web Remoting (DWR) before 1.1.4 allows attackers to cause a denial of service (memory exhaustion and servlet outage) via unknown vectors related to a large number of calls in a batch.",
"id": "GSD-2007-0185",
"references": [
"https://www.suse.com/security/cve/CVE-2007-0185.html"
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},
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"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
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"modified": "2023-12-13T01:21:35.992898Z",
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}
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},
"gitlab.com": {
"advisories": [
{
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"affected_versions": "All versions before 1.1.4",
"cvss_v2": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
"cwe_ids": [
"CWE-1035",
"CWE-937"
],
"date": "2022-07-05",
"description": "Getahead Direct Web Remoting (DWR) before 1.1.4 allows attackers to cause a denial of service (memory exhaustion and servlet outage) via unknown vectors related to a large number of calls in a batch.",
"fixed_versions": [
"1.1.4"
],
"identifier": "CVE-2007-0185",
"identifiers": [
"GHSA-hg5p-233h-c7fh",
"CVE-2007-0185"
],
"not_impacted": "All versions starting from 1.1.4",
"package_slug": "maven/org.directwebremoting/dwr",
"pubdate": "2022-05-01",
"solution": "Upgrade to version 1.1.4 or above.",
"title": "Direct Web Remoting vulnerable to Denial of Service",
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},
"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 5.0,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
}
},
"lastModifiedDate": "2017-07-29T01:30Z",
"publishedDate": "2007-01-12T05:04Z"
}
}
}
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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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