GSD-2023-23349
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
Kaspersky has fixed a security issue in Kaspersky Password Manager (KPM) for Windows that allowed a local user to recover the auto-filled credentials from a memory dump when the KPM extension for Google Chrome is used. To exploit the issue, an attacker must trick a user into visiting a login form of a website with the saved credentials, and the KPM extension must autofill these credentials. The attacker must then launch a malware module to steal those specific credentials.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2023-23349",
"id": "GSD-2023-23349"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2023-23349"
],
"details": "Kaspersky has fixed a security issue in Kaspersky Password Manager (KPM) for Windows that allowed a local user to recover the auto-filled credentials from a memory dump when the KPM extension for Google Chrome is used. To exploit the issue, an attacker must trick a user into visiting a login form of a website with the saved credentials, and the KPM extension must autofill these credentials. The attacker must then launch a malware module to steal those specific credentials.",
"id": "GSD-2023-23349",
"modified": "2023-12-13T01:20:49.745485Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
"cve.org": {
"CVE_data_meta": {
"ASSIGNER": "vulnerability@kaspersky.com",
"ID": "CVE-2023-23349",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "Kaspersky Password Manager for Windows",
"version": {
"version_data": [
{
"version_affected": "\u003c",
"version_name": "*",
"version_value": "24.0.0.427"
}
]
}
}
]
},
"vendor_name": "Kaspersky"
}
]
}
},
"credits": [
{
"lang": "en",
"value": "Efstratios Chatzoglou"
},
{
"lang": "en",
"value": "Zisis Tsiatsikas"
},
{
"lang": "en",
"value": "Vyron Kampourakis"
}
],
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "Kaspersky has fixed a security issue in Kaspersky Password Manager (KPM) for Windows that allowed a local user to recover the auto-filled credentials from a memory dump when the KPM extension for Google Chrome is used. To exploit the issue, an attacker must trick a user into visiting a login form of a website with the saved credentials, and the KPM extension must autofill these credentials. The attacker must then launch a malware module to steal those specific credentials."
}
]
},
"impact": {
"cvss": [
{
"attackComplexity": "HIGH",
"attackVector": "LOCAL",
"availabilityImpact": "NONE",
"baseScore": 2.2,
"baseSeverity": "LOW",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:H/PR:L/UI:R/S:U/C:L/I:N/A:N",
"version": "3.1"
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"cweId": "CWE-316",
"lang": "eng",
"value": "CWE-316: Cleartext Storage of Sensitive Information in Memory"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://support.kaspersky.com/vulnerability/list-of-advisories/12430#180324",
"refsource": "MISC",
"url": "https://support.kaspersky.com/vulnerability/list-of-advisories/12430#180324"
}
]
},
"solution": [
{
"lang": "en",
"value": "Install Kaspersky Password Manager (KPM) version 24.0.0.427 or later using the following url: https://support.kaspersky.com/help/KPM/Win24.0/en-US/85241.htm"
}
]
},
"nvd.nist.gov": {
"cve": {
"descriptions": [
{
"lang": "en",
"value": "Kaspersky has fixed a security issue in Kaspersky Password Manager (KPM) for Windows that allowed a local user to recover the auto-filled credentials from a memory dump when the KPM extension for Google Chrome is used. To exploit the issue, an attacker must trick a user into visiting a login form of a website with the saved credentials, and the KPM extension must autofill these credentials. The attacker must then launch a malware module to steal those specific credentials."
}
],
"id": "CVE-2023-23349",
"lastModified": "2024-03-22T19:02:10.300",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "HIGH",
"attackVector": "LOCAL",
"availabilityImpact": "NONE",
"baseScore": 2.2,
"baseSeverity": "LOW",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:H/PR:L/UI:R/S:U/C:L/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 0.8,
"impactScore": 1.4,
"source": "vulnerability@kaspersky.com",
"type": "Secondary"
}
]
},
"published": "2024-03-22T17:15:07.537",
"references": [
{
"source": "vulnerability@kaspersky.com",
"url": "https://support.kaspersky.com/vulnerability/list-of-advisories/12430#180324"
}
],
"sourceIdentifier": "vulnerability@kaspersky.com",
"vulnStatus": "Awaiting Analysis",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-316"
}
],
"source": "vulnerability@kaspersky.com",
"type": "Secondary"
}
]
}
}
}
}
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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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