150 lines
6.4 KiB
JSON
150 lines
6.4 KiB
JSON
{
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"dataType": "CVE_RECORD",
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"dataVersion": "5.2",
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"cveMetadata": {
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"cveId": "CVE-2026-43979",
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"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
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"state": "PUBLISHED",
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"assignerShortName": "GitHub_M",
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"dateReserved": "2026-05-04T20:24:31.916Z",
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"datePublished": "2026-05-28T17:59:19.443Z",
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"dateUpdated": "2026-05-28T19:33:58.899Z"
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},
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"containers": {
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"cna": {
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"title": "Local Deep Research: HTML Injection via Unescaped User Input in PDF Export (`pdf_service.py:_markdown_to_html`)",
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"problemTypes": [
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{
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"descriptions": [
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{
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"cweId": "CWE-79",
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"lang": "en",
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"description": "CWE-79: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')",
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"type": "CWE"
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}
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]
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},
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{
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"descriptions": [
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{
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"cweId": "CWE-918",
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"lang": "en",
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"description": "CWE-918: Server-Side Request Forgery (SSRF)",
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"type": "CWE"
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}
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]
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}
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],
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"metrics": [
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{
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"cvssV3_1": {
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"attackComplexity": "LOW",
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"attackVector": "NETWORK",
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"availabilityImpact": "NONE",
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"baseScore": 5,
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"baseSeverity": "MEDIUM",
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"confidentialityImpact": "LOW",
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"integrityImpact": "NONE",
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"privilegesRequired": "LOW",
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"scope": "CHANGED",
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"userInteraction": "NONE",
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"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:N/A:N",
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"version": "3.1"
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}
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}
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],
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"references": [
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{
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"name": "https://github.com/LearningCircuit/local-deep-research/security/advisories/GHSA-fj2m-qvh9-jq4q",
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"tags": [
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"x_refsource_CONFIRM"
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],
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"url": "https://github.com/LearningCircuit/local-deep-research/security/advisories/GHSA-fj2m-qvh9-jq4q"
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},
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{
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"name": "https://github.com/LearningCircuit/local-deep-research/pull/3082",
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"tags": [
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"x_refsource_MISC"
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],
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"url": "https://github.com/LearningCircuit/local-deep-research/pull/3082"
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},
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{
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"name": "https://github.com/LearningCircuit/local-deep-research/pull/3613",
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"tags": [
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"x_refsource_MISC"
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],
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"url": "https://github.com/LearningCircuit/local-deep-research/pull/3613"
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}
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],
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"affected": [
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{
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"vendor": "LearningCircuit",
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"product": "local-deep-research",
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"versions": [
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{
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"version": "< 1.6.0",
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"status": "affected"
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}
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]
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}
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],
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"providerMetadata": {
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"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
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"shortName": "GitHub_M",
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"dateUpdated": "2026-05-28T17:59:19.443Z"
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},
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"descriptions": [
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{
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"lang": "en",
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"value": "Local Deep Research is an AI-powered research assistant for deep, iterative research. Prior to 1.6.0, PDFService._markdown_to_html() constructs an HTML document by interpolating user-controlled values — specifically title (sourced from research.title or research.query) and metadata key-value pairs — directly into an f-string without any HTML escaping. An authenticated attacker can craft a research query containing HTML special characters to inject arbitrary HTML tags into the document processed by WeasyPrint during PDF export. This injection can be chained to trigger a Server-Side Request Forgery (SSRF), bypassing the application's existing SSRF defenses in ssrf_validator.py. This vulnerability is fixed in 1.6.0."
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}
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],
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"source": {
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"advisory": "GHSA-fj2m-qvh9-jq4q",
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"discovery": "UNKNOWN"
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}
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},
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"adp": [
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{
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"references": [
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{
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"url": "https://github.com/LearningCircuit/local-deep-research/security/advisories/GHSA-fj2m-qvh9-jq4q",
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"tags": [
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"exploit"
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]
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}
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],
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"metrics": [
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{
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"other": {
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"type": "ssvc",
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"content": {
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"timestamp": "2026-05-28T19:33:32.262907Z",
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"id": "CVE-2026-43979",
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"options": [
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{
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"Exploitation": "poc"
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},
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{
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"Automatable": "no"
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},
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{
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"Technical Impact": "partial"
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}
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],
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"role": "CISA Coordinator",
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"version": "2.0.3"
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}
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}
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}
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],
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"title": "CISA ADP Vulnrichment",
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"providerMetadata": {
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"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
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"shortName": "CISA-ADP",
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"dateUpdated": "2026-05-28T19:33:58.899Z"
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}
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}
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]
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}
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} |