GSD-2018-15374
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
A vulnerability in the Image Verification feature of Cisco IOS XE Software could allow an authenticated, local attacker to install a malicious software image or file on an affected device. The vulnerability is due to the affected software improperly verifying digital signatures for software images and files that are uploaded to a device. An attacker could exploit this vulnerability by uploading a malicious software image or file to an affected device. A successful exploit could allow the attacker to bypass digital signature verification checks for software images and files and install a malicious software image or file on the affected device.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2018-15374",
"description": "A vulnerability in the Image Verification feature of Cisco IOS XE Software could allow an authenticated, local attacker to install a malicious software image or file on an affected device. The vulnerability is due to the affected software improperly verifying digital signatures for software images and files that are uploaded to a device. An attacker could exploit this vulnerability by uploading a malicious software image or file to an affected device. A successful exploit could allow the attacker to bypass digital signature verification checks for software images and files and install a malicious software image or file on the affected device.",
"id": "GSD-2018-15374"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"aliases": [
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"details": "A vulnerability in the Image Verification feature of Cisco IOS XE Software could allow an authenticated, local attacker to install a malicious software image or file on an affected device. The vulnerability is due to the affected software improperly verifying digital signatures for software images and files that are uploaded to a device. An attacker could exploit this vulnerability by uploading a malicious software image or file to an affected device. A successful exploit could allow the attacker to bypass digital signature verification checks for software images and files and install a malicious software image or file on the affected device.",
"id": "GSD-2018-15374",
"modified": "2023-12-13T01:22:23.832624Z",
"schema_version": "1.4.0"
}
},
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"ASSIGNER": "psirt@cisco.com",
"DATE_PUBLIC": "2018-09-26T16:00:00-0500",
"ID": "CVE-2018-15374",
"STATE": "PUBLIC",
"TITLE": "Cisco IOS XE Software Digital Signature Verification Bypass Vulnerability"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "Cisco IOS XE Software",
"version": {
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"description": {
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"value": "A vulnerability in the Image Verification feature of Cisco IOS XE Software could allow an authenticated, local attacker to install a malicious software image or file on an affected device. The vulnerability is due to the affected software improperly verifying digital signatures for software images and files that are uploaded to a device. An attacker could exploit this vulnerability by uploading a malicious software image or file to an affected device. A successful exploit could allow the attacker to bypass digital signature verification checks for software images and files and install a malicious software image or file on the affected device."
}
]
},
"impact": {
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"version": "3.0"
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"value": "CWE-347"
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"references": {
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{
"name": "20180926 Cisco IOS XE Software Digital Signature Verification Bypass Vulnerability",
"refsource": "CISCO",
"url": "https://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-20180926-digsig"
},
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"source": {
"advisory": "cisco-sa-20180926-digsig",
"defect": [
[
"CSCvh15737"
]
],
"discovery": "UNKNOWN"
}
},
"nvd.nist.gov": {
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"nodes": [
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"cpe_match": [
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"description": {
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"value": "A vulnerability in the Image Verification feature of Cisco IOS XE Software could allow an authenticated, local attacker to install a malicious software image or file on an affected device. The vulnerability is due to the affected software improperly verifying digital signatures for software images and files that are uploaded to a device. An attacker could exploit this vulnerability by uploading a malicious software image or file to an affected device. A successful exploit could allow the attacker to bypass digital signature verification checks for software images and files and install a malicious software image or file on the affected device."
}
]
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"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 7.2,
"confidentialityImpact": "COMPLETE",
"integrityImpact": "COMPLETE",
"vectorString": "AV:L/AC:L/Au:N/C:C/I:C/A:C",
"version": "2.0"
},
"exploitabilityScore": 3.9,
"impactScore": 10.0,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "HIGH",
"userInteractionRequired": false
},
"baseMetricV3": {
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"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 6.7,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "HIGH",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:L/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H",
"version": "3.0"
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"exploitabilityScore": 0.8,
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}
},
"lastModifiedDate": "2019-10-09T23:35Z",
"publishedDate": "2018-10-05T14:29Z"
}
}
}
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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 |
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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.
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- Not confirmed: The user expressed doubt about the validity of the vulnerability.
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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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