153 lines
6.6 KiB
JSON
153 lines
6.6 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-2026-61732",
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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": "2026-07-10T18:59:00.046Z",
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"datePublished": "2026-09-24T17:40:51.248Z",
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"dateUpdated": "2026-09-24T18:00:43.383Z"
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},
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"containers": {
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"cna": {
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"title": "Decepticon: Role-boundary forgery via ChatML special-token literals in web crawl output composed into LLM context",
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"problemTypes": [
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{
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"descriptions": [
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{
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"cweId": "CWE-74",
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"lang": "en",
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"description": "CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection')",
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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": "HIGH",
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"baseScore": 10,
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"baseSeverity": "CRITICAL",
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"confidentialityImpact": "HIGH",
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"integrityImpact": "HIGH",
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"privilegesRequired": "NONE",
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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:N/UI:N/S:C/C:H/I:H/A:H",
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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/BitterSecurity/Decepticon/security/advisories/GHSA-g5f9-3xfg-p9mf",
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"tags": [
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"x_refsource_CONFIRM"
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],
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"url": "https://github.com/BitterSecurity/Decepticon/security/advisories/GHSA-g5f9-3xfg-p9mf"
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},
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{
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"name": "https://github.com/BitterSecurity/Decepticon/commit/79ee2aaf22f4c36a5b1968f6ca3f8086b6e35b67",
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"tags": [
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"x_refsource_MISC"
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],
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"url": "https://github.com/BitterSecurity/Decepticon/commit/79ee2aaf22f4c36a5b1968f6ca3f8086b6e35b67"
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}
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],
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"affected": [
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{
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"vendor": "BitterSecurity",
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"product": "Decepticon",
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"versions": [
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{
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"version": "< 1.1.17",
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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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"vendor": "BitterSecurity",
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"product": "decepticon-core",
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"versions": [
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{
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"version": "< 1.1.17",
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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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"vendor": "BitterSecurity",
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"product": "decepticon-sdk",
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"versions": [
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{
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"version": "< 1.1.17",
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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": "2026-09-24T17:40:51.248Z"
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},
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"descriptions": [
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{
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"lang": "en",
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"value": "Decepticon is an autonomous hacking agent for red teams. Versions prior to 1.1.17 wrap web crawl results — the output of agent reconnaissance against target services — into LLM messages without neutralizing ChatML special-token literals. Under the BYOK (Bring Your Own Key) deployment model, users configure their own LLM credentials to any OpenAI-compatible endpoint. Most open-source and self-deployed model providers (vLLM, SGLang, Ollama, LM Studio, text-generation-webui, etc.) do not filter special-token literals from user content in their default configurations. Those literals are parsed into structural role-boundary token IDs, meaning an attacker string planted in a target web page forges a new operator turn the model treats as authoritative, bypassing Decepticon's agent guardrails and resulting in arbitrary command execution inside the Kali Linux sandbox. Version 1.1.17 patches the issue."
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}
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],
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"source": {
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"advisory": "GHSA-g5f9-3xfg-p9mf",
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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/BitterSecurity/Decepticon/security/advisories/GHSA-g5f9-3xfg-p9mf",
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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": "2026-09-24T17:59:08.643777Z",
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"id": "CVE-2026-61732",
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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": "yes"
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},
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{
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"Technical Impact": "total"
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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": "2026-09-24T18:00:43.383Z"
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}
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}
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]
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}
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} |