Exploit for Path Traversal in Rarlab Winrar_0AEC5CEA-1ACD-55C4-80FC-250F80922CE5

{
    "lastseen": "2026-06-26T07:22:55",
    "description": "Amaranth Project A multi-stage backdoor implantation attack chain is implemented using CVE-2025-8088 WinRAR path traversal vulnerability, \u2264 7.11. Fleece document \u2192 Malicious RAR \u2192 CVE trigger \u2192 ADS writing \u2192 Stager execution \u2192 File loading \u2192 C2 launch...",
    "published": "2026-06-26T06:46:50",
    "modified": "2026-06-26T07:12:42",
    "type": "githubexploit",
    "title": "Exploit for Path Traversal in Rarlab Winrar",
    "source": "",
    "references": "",
    "id": "0AEC5CEA-1ACD-55C4-80FC-250F80922CE5",
    "bulletinFamily": "exploit",
    "cwe": null,
    "cvelist": [
        "CVE-2025-8088"
    ],
    "sourceData": "",
    "sourceHref": "",
    "cvss": {
        "score": 8.8,
        "severity": "HIGH",
        "vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
        "version": "3.1"
    },
    "cvss2": [],
    "cvss3": {
        "version": "",
        "vectorString": "",
        "baseScore": 0,
        "baseSeverity": "",
        "attackVector": "",
        "attackComplexity": "",
        "privilegesRequired": "",
        "userInteraction": "",
        "scope": "",
        "confidentialityImpact": "",
        "integrityImpact": "",
        "availabilityImpact": "",
        "cvssV3": {
            "version": "",
            "vectorString": "",
            "baseScore": 0,
            "baseSeverity": "",
            "attackVector": "",
            "attackComplexity": "",
            "privilegesRequired": "",
            "userInteraction": "",
            "scope": "",
            "confidentialityImpact": "",
            "integrityImpact": "",
            "availabilityImpact": ""
        }
    },
    "href": "https://github.com/Lewis-Ricardo/Amaranth-Project",
    "category_name": "Exploit",
    "post_link": "",
    "product": "",
    "version": "",
    "vendor": "",
    "ai_description": "",
    "ai_severity": "",
    "ai_vendor": "",
    "ai_product": "",
    "ai_version": "",
    "ai_score": 0
}