FKIE_CVE-2026-12068
Vulnerability from fkie_nvd - Published: 2026-06-12 23:16 - Updated: 2026-07-23 09:10
Severity
Summary
Information disclosure vulnerability in Avira Password Manager when used with Mozilla Firefox may allow a remote attacker operating a cross-origin iframe to obtain credentials autofilled for the parent web page via incorrect autofill field selection.
This issue affects Avira Password Manager when used with Mozilla Firefox on Windows, macOS, and Linux.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "affected",
"platforms": [
"Firefox",
"Windows",
"macOS",
"Linux"
],
"product": "Avira Password Manager",
"vendor": "Gen Digital",
"versions": [
{
"status": "affected",
"version": "*"
}
]
}
],
"source": "security@nortonlifelock.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Information disclosure vulnerability in Avira Password Manager when used with Mozilla Firefox may allow a remote attacker operating a cross-origin iframe to obtain credentials autofilled for the parent web page via incorrect autofill field selection.\n\nThis issue affects Avira Password Manager when used with Mozilla Firefox on Windows, macOS, and Linux."
},
{
"lang": "es",
"value": "Vulnerabilidad de revelaci\u00f3n de informaci\u00f3n en Avira Password Manager cuando se usa con Mozilla Firefox puede permitir a un atacante remoto que opera un iframe de origen cruzado obtener credenciales autorrellenadas para la p\u00e1gina web principal mediante una selecci\u00f3n incorrecta del campo de autorrelleno.\n\nEste problema afecta a Avira Password Manager cuando se usa con Mozilla Firefox en Windows, macOS y Linux."
}
],
"id": "CVE-2026-12068",
"lastModified": "2026-07-23T09:10:00.113",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.4,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 4.0,
"source": "security@nortonlifelock.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-12068",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-06-15T16:01:07.717925Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-06-12T23:16:33.553",
"references": [
{
"source": "security@nortonlifelock.com",
"url": "https://www.gendigital.com/us/en/contact-us/security-advisories/"
}
],
"sourceIdentifier": "security@nortonlifelock.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-669"
}
],
"source": "security@nortonlifelock.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.
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