GSD-2022-30350
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Avanquest Software RAD PDF (PDFEscape Online) 3.19.2.2 is vulnerable to Information Leak / Disclosure. The PDFEscape Online tool provides users with a "white out" functionality for redacting images, text, and other graphics from a PDF document. However, this mechanism does not remove underlying text or PDF object specification information from the PDF. As a result, for example, redacted text may be copy-pasted by a PDF reader.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-30350",
"id": "GSD-2022-30350"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
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],
"details": "Avanquest Software RAD PDF (PDFEscape Online) 3.19.2.2 is vulnerable to Information Leak / Disclosure. The PDFEscape Online tool provides users with a \"white out\" functionality for redacting images, text, and other graphics from a PDF document. However, this mechanism does not remove underlying text or PDF object specification information from the PDF. As a result, for example, redacted text may be copy-pasted by a PDF reader.",
"id": "GSD-2022-30350",
"modified": "2023-12-13T01:19:36.988025Z",
"schema_version": "1.4.0"
}
},
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"data_version": "4.0",
"description": {
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"value": "Avanquest Software RAD PDF (PDFEscape Online) 3.19.2.2 is vulnerable to Information Leak / Disclosure. The PDFEscape Online tool provides users with a \"white out\" functionality for redacting images, text, and other graphics from a PDF document. However, this mechanism does not remove underlying text or PDF object specification information from the PDF. As a result, for example, redacted text may be copy-pasted by a PDF reader."
}
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"references": {
"reference_data": [
{
"name": "https://www.pdfescape.com/open/",
"refsource": "MISC",
"url": "https://www.pdfescape.com/open/"
},
{
"name": "https://arxiv.org/pdf/2206.02285.pdf",
"refsource": "MISC",
"url": "https://arxiv.org/pdf/2206.02285.pdf"
}
]
}
},
"nvd.nist.gov": {
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"nodes": [
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"cpe23Uri": "cpe:2.3:a:avanquest:pdfescape:3.19.2.2:*:*:*:*:*:*:*",
"cpe_name": [],
"vulnerable": true
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}
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"tags": [
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},
"impact": {
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6
}
},
"lastModifiedDate": "2023-04-10T16:55Z",
"publishedDate": "2023-03-30T16:15Z"
}
}
}
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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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