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pentest-threat-modeling
PTES Phase 3 - Threat modeling for AWS security assessments
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
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PTES Phase 3 - Threat modeling for AWS security assessments
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
Security audit for AI agent endpoints (Claude Desktop/Code, MCP servers, plugins, extensions)
Active Directory penetration testing skills covering reconnaissance, attacks, lateral movement, persistence, and ADCS exploitation
PTES Phase 5 - Exploitation for AWS security assessments using WorstAssume attack chain detection
PTES Phase 2 - Intelligence gathering for AWS security assessments
Network reconnaissance and port scanning using Naabu, hping3, and complementary tools
Pentest especializado para Palo Alto Networks PAN-OS — cobre CVE-2026-0300 (buffer overflow RCE), User-ID Auth Portal, e superfície de ataque completa
| name | pentest-threat-modeling |
| description | PTES Phase 3 - Threat modeling for AWS security assessments |
| type | skill |
IMPORTANTE: Se durante o threat modeling você identificar pfSense como alvo, ATIVE A SKILL
pentest-pfsensepara modelagem específica.
pfSense Attack Vectors:
├── Web GUI (443/tcp)
│ ├── Authentication bypass
│ ├── Command injection (diag_*.php)
│ ├── XSS (stored/reflected)
│ └── File read/write arbitrary
├── SSH (22/tcp)
│ ├── Brute force
│ └── Terrapin attack (CVE-2023-48795)
├── VPN Services
│ ├── OpenVPN (1194)
│ ├── IPsec (500/4500)
│ └── WireGuard (51820)
├── Packages
│ ├── pfBlockerNG (RCE CVE-2022-40624)
│ ├── Suricata (Path Traversal CVE-2025-12490)
│ └── Snort (File Oracle CVE-2025-34173)
└── HA/CARP
├── XMLRPC sync abuse
└── Config sync injection
/cf/conf/config.xml - Todas as credenciais e configurações# Se pfSense identificado → ATIVAR pentest-pfsense skill
# Esta skill continua para threat modeling geral
# Use pentest-pfsense para:
# - Attack tree específico para firewall
# - Feature-based threat modeling (158 features)
# - CVE prioritization (EPSS/CVSS)
# - Privilege escalation paths
Analisar dados coletados para identificar vetores de ataque, alvos de alto valor e caminhos de exploração prioritários, alinhado com PTES Section 3.3 (Attack Avenues) e Section 3.2 (Vulnerability Validation).
# Rodar assessment completo (PTES 3.1.2 - Automated Tools)
worst assess
# Assessment com filtro de severidade (PTES 3.1.1 - Active)
worst assess --min-severity HIGH
# Assessment de conta específica
worst assess --account-id 123456789012
# Assessment focado em IAM (PTES 3.2.2.4 - Weak Services)
worst assess --focus iam
Principal: "*" (wildcard público)sts.amazonaws.com)*:*Resource: "*"iam:PassRole sem restrição de recursos3:* em todos os bucketssecretsmanager:GetSecretValue globalATTACK VECTOR: IAM Policy Manipulation
├── PATH-001: CreatePolicyVersion → Admin em qualquer policy
├── PATH-002: SetDefaultPolicyVersion → Ativar versão permissiva
├── PATH-003: AttachUserPolicy → Attach admin policy em user
├── PATH-004: AttachRolePolicy → Attach admin policy em role
├── PATH-005: AttachGroupPolicy → Attach admin policy em group
├── PATH-006: PutUserPolicy → Inline policy em user
├── PATH-007: PutRolePolicy → Inline policy em role
├── PATH-008: PutGroupPolicy → Inline policy em group
├── PATH-009: AddUserToGroup → Herdar permissões do grupo
├── PATH-010: UpdateAssumeRolePolicy → Modificar trust policy
├── PATH-011: CreateAccessKey → Criar chave persistente
├── PATH-012: CreateLoginProfile → Criar console access
└── PATH-013: UpdateLoginProfile → Overwrite senha console
ATTACK VECTOR: PassRole + Compute Services
├── PATH-015: EC2 RunInstances → Roubar creds via IMDS
├── PATH-016: Lambda CreateFunction → Executar como role
├── PATH-018: Lambda EventSourceMapping → Trigger automático
├── PATH-021: Glue CreateDevEndpoint → SSH + creds
├── PATH-023: CloudFormation CreateStack → Service role abuse
├── PATH-024: DataPipeline CreatePipeline → Shell activity
├── PATH-025: SageMaker CreateNotebook → Notebook com creds
└── PATH-027: CodeStar CreateProject → Project role abuse
ATTACK VECTOR: Resource-Based Lateral Movement
├── PATH-014: IMDSv1 → Roubar instance role
├── PATH-019: Lambda UpdateFunctionCode → Inject code
├── PATH-020: Lambda UpdateConfiguration → Malicious layer
├── PATH-022: Glue UpdateDevEndpoint → SSH key injection
├── PATH-026: SageMaker CreatePresignedUrl → Hijack session
├── PATH-030: AssumeRole (same-account) → Assumir role
├── PATH-031: AssumeRole (cross-account) → Pivot conta
├── PATH-032: SSM SendCommand → RCE via Run Command
├── PATH-033: EC2 Instance Connect → SSH via public key
├── PATH-035: S3 PutBucketPolicy → Access bucket externo
├── PATH-036: SecretsManager GetSecretValue → Harvest creds
└── PATH-037: ECS Task Metadata → Roubar task role
ATTACK VECTOR: Blindar Defesas
└── PATH-042: CloudTrail StopLogging / GuardDuty DeleteDetector
ATTACK VECTOR: Network Scanning e Firewall Bypass (hping3)
├── Network Reconnaissance
│ ├── Host discovery via SYN scan
│ ├── Port scanning com flags customizadas
│ └── Firewall ruleset mapping
├── IDS/IPS Evasion
│ ├── XMAS scan (-FPU flags)
│ ├── NULL scan (sem flags)
│ ├── Fragmented packets (-f)
│ └── Random source IP (--rand-source)
├── Covert Channels
│ ├── ICMP tunneling (-1 -d <size>)
│ └── Beaconing simulation (-i <interval>)
└── Lateral Movement
├── Internal network pivoting
├── Database port discovery (3306, 5432, 1433)
└── SMB/NetBIOS enumeration (445, 139)
ATTACK TREE: Network Compromise via hping3
Root: Obter acesso à rede interna
├── Branch 1: Host Discovery
│ ├── SYN scan em subnet (-S -p <port> --scan)
│ ├── ICMP discovery (-1)
│ └── UDP scan (-2 -p 53)
├── Branch 2: Firewall Analysis
│ ├── ACK scan para stateless detection (-A)
│ ├── SYN scan para stateful detection (-S)
│ └── TTL analysis para OS fingerprinting (-t)
├── Branch 3: IDS Evasion
│ ├── Fragmentation (-f)
│ ├── XMAS scan (-F -P -U)
│ ├── NULL scan (-O)
│ └── Source spoofing (-a, --rand-source)
└── Branch 4: Lateral Movement
├── Internal port scanning
├── Database discovery
└── SMB/NetBIOS enumeration
Root: Obter AdministratorAccess
├── Branch 1: IAM Policy Modification
│ ├── PATH-001: CreatePolicyVersion
│ ├── PATH-003: AttachUserPolicy
│ └── PATH-009: AddUserToGroup
├── Branch 2: Credential Creation
│ ├── PATH-011: CreateAccessKey
│ └── PATH-012: CreateLoginProfile
└── Branch 3: Role Assumption
├── PATH-030: AssumeRole (same-account)
└── PATH-031: AssumeRole (cross-account)
Root: Comprometer Conta Secundária
├── Branch 1: Wildcard Trust Abuse
│ └── PATH-031: AssumeRole com Principal: *
├── Branch 2: Credential Harvesting
│ └── PATH-036: SecretsManager GetSecretValue
└── Branch 3: PassRole Attack
├── PATH-016: Lambda CreateFunction
└── PATH-023: CloudFormation CreateStack
Root: Exfiltrar Dados Sensíveis
├── Branch 1: S3 Access
│ └── PATH-035: S3 PutBucketPolicy
├── Branch 2: Secret Access
│ └── PATH-036: SecretsManager GetSecretValue
└── Branch 3: Database Access
└── PATH-032: SSM SendCommand → RDS access
CreatePolicy + AttachUserPolicy → Self Admin Escalation
CreatePolicy + AttachRolePolicy → Role Privilege Escalation
PassRole + Lambda → Steal Execution Role
PassRole + EC2 → IMDS Credential Theft
PassRole + CloudFormation → IAM User Creation
PassRole + ECS → Task Role Theft
PassRole + Glue → Code Execution
PassRole + SageMaker → Container Execution
PassRole + CodeBuild → Shell Execution
SSM SendCommand → Instance Profile Theft
EC2 ModifyUserData → Credential Exfil via UserData
Lambda UpdateCode → Execution Role Theft
ECS UpdateService → Task Role Theft
SecretsManager GetSecretValue → IAM Key Reuse
SSM GetParameter → Credential Theft
Lambda GetFunction → Env Variable Secrets
S3 GetObject → Credential Files (.aws/credentials, id_rsa)
UpdateLoginProfile → Console Takeover
MFA Bypass + UpdateLogin → Takeover sem MFA
CreateAccessKey → Persistent Admin Access
UpdateAssumeRolePolicy + AssumeRole → Role Takeover
AddUserToGroup → Join High-Privilege Group
PutGroupPolicy + AddUserToGroup → Self-Escalation via Group
WildcardTrust → Any Principal Assumes High-Priv Role
CrossAccount Trust → Dangerous Role → Lateral Movement
Principal: "*")| Serviço | Ameaça Principal | Impacto | Probabilidade | PATH-IDs |
|---|---|---|---|---|
| IAM | Privilege Escalation | CRITICAL | Alta | 001-013 |
| EC2 | Instance Profile Theft | HIGH | Alta | 014, 015 |
| Lambda | Execution Role Abuse | HIGH | Alta | 016, 018-020 |
| S3 | Data Exfiltration | HIGH | Média | 035 |
| Secrets Manager | Credential Harvest | CRITICAL | Média | 036 |
| ECS | Task Role Theft | HIGH | Média | 037 |
| CloudFormation | Service Role Abuse | CRITICAL | Baixa | 023 |
| SSM | Lateral Movement | HIGH | Média | 032 |
| Glue | Code Execution | HIGH | Baixa | 021, 022 |
| SageMaker | Container Execution | HIGH | Baixa | 025, 026 |
1. IDENTIDADE INICIAL (PTES 2.5 - Footprinting)
- ARN: arn:aws:iam::123456789012:user/auditor
- Permissões: [Lista]
- Restrições: [Lista]
2. VETORES PRIORITÁRIOS (PTES 3.3 - Attack Avenues)
- Vetor 1: [Descrição + PATH-ID]
- Vetor 2: [Descrição + PATH-ID]
- Vetor 3: [Descrição + PATH-ID]
3. ALVOS DE ALTO VALOR (PTES 3.2.2 - Target List)
- Alvo 1: [ARN + Justificativa]
- Alvo 2: [ARN + Justificativa]
4. ATTACK TREES (PTES 3.3.1 - Creation of Attack Trees)
- Tree 1: [Root + Branches]
- Tree 2: [Root + Branches]
5. CADEIAS DE ATAQUE IDENTIFICADAS (7 Famílias)
- Chain 1: [Family + Steps]
- Chain 2: [Family + Steps]
6. MECANISMOS DE PROTEÇÃO (PTES 3.3.2)
- Network: [Lista]
- Host: [Lista]
- Application: [Lista]
7. PRIORIZAÇÃO (PTES 3.2 - Vulnerability Validation)
- Critical: [Lista]
- High: [Lista]
- Medium: [Lista]
Após completar esta fase, prossiga para pentest-vulnerability-analysis (PTES Section 3)
AIRecon é um agente autônomo de penetration testing (v0.1.7-beta) que pode ser invocado como ferramenta incremental durante threat modeling para automatizar análise de CVEs, construção de attack trees, e priorização de vulnerabilidades.
# AIRecon com keywords de threat modeling e attack analysis
airecon "pentest threat modeling aws iam attack trees"
# AIRecon detectará keywords e carregará:
# - pentest-threat-modeling.md (skill primária)
# - pentest-vulnerability-analysis.md (para CVE analysis)
# - MCP tools: cve-mcp, hexstrike, worstassume
# Para pfSense-specific threat modeling:
airecon "pfsense threat modeling attack tree 2.7.0"
# Para attack chain analysis:
airecon "analyze attack chains privilege escalation aws"
# CVE lookup e EPSS scoring
# AIRecon buscará CVEs relevantes e calculará risk scores
airecon "check CVE-2026-41940 risk score"
# Network scanning para identificar alvos
/naabu-scan --target target.com -p 443,8443
# API key discovery para credential exposure analysis
/api-keys --target ./src --recursive
Durante threat modeling, AIRecon pode invocar MCP tools automaticamente:
# cve-mcp: CVE lookup, EPSS scores, KEV status, risk calculation
airecon "get CVE summary for CVE-2026-41940"
# → Usará mcp__cve-mcp__get_cve_summary
airecon "calculate risk score for CVE-2026-31431"
# → Usará mcp__cve-mcp__calculate_risk_score
airecon "check if CVE-2026-41940 is in CISA KEV catalog"
# → Usará mcp__cve-mcp__check_kev
airecon "get EPSS scores for CVE-2026-41940,CVE-2026-31431"
# → Usará mcp__cve-mcp__get_epss_score
airecon "compare CVEs CVE-2026-41940 and CVE-2026-31431"
# → Usará mcp__cve-mcp__compare_cves
# hexstrike-local: Vulnerability scanning para validation
airecon "run nuclei scan on target.com for CVE detection"
# → Usará mcp__hexstrike-local__nuclei_scan
airecon "run nikto vulnerability scan on https://target.com"
# → Usará mcp__hexstrike-local__nikto_scan
# pentestswarm-remote: Automated threat modeling campaigns
airecon "start threat modeling campaign for target.com"
# → Usará mcp__pentestswarm-remote__start_campaign
# 1. Usar AIRecon para carregar threat modeling skill
airecon "pentest threat modeling aws"
# 2. AIRecon auto-carrega pentest-threat-modeling.md
# 3. Invocar WorstAssume para security assessment
airecon "run worst assume --min-severity HIGH"
# 4. Para cada CVE identificada, AIRecon buscará automaticamente:
# - EPSS score (probabilidade de exploração)
# - KEV status (CISA Known Exploited Vulnerabilities)
# - PoC availability (GitHub, Exploit-DB)
# - Risk score composto (0-100)
airecon "analyze CVEs found and prioritize by risk"
# 5. AIRecon gera attack trees baseados nas vulnerabilidades
# 6. Exportar threat model para relatório
airecon "export threat model to JSON"
# 1. Identificar versão do pfSense
airecon "shodan search product:pfsense org:target"
# 2. Buscar CVEs para versão detectada
airecon "search CVEs for pfSense 2.7.0 severity CRITICAL"
# → Usará mcp__cve-mcp__search_cves
# 3. Para cada CVE, calcular risk score
airecon "calculate risk score CVE-2022-40624" # pfBlockerNG RCE
airecon "calculate risk score CVE-2025-12490" # Suricata Path Traversal
# 4. Verificar exploit availability
airecon "check exploit availability CVE-2022-40624"
# → Usará mcp__cve-mcp__check_exploit_availability
# 5. Gerar attack tree específico para pfSense
airecon "generate attack tree for pfSense 2.7.0"
# 6. Exportar threat model
airecon "export pfsense threat model"
| Keywords Detectadas | Skills Carregadas | MCP Tools Ativados |
|---|---|---|
threat model attack tree | pentest-threat-modeling | cve-mcp, hexstrike |
cve vulnerability | pentest-vulnerability-analysis | cve-mcp, pentestswarm |
pfsense firewall | pentest-pfsense, pentest-threat-modeling | cve-mcp, shodan |
privilege escalation | pentest-threat-modeling, pentest-exploitation | worstassume, hexstrike |
lateral movement | pentest-threat-modeling | worstassume, pentestswarm |
aws iam | pentest-threat-modeling | worstassume, cve-mcp |
AIRecon usa o cve-mcp para priorizar vulnerabilidades automaticamente:
# AIRecon calcula risk score composto (0-100) baseado em:
# - CVSS score (severity base)
# - EPSS score (exploit probability)
# - KEV status (actively exploited)
# - PoC availability (exploit maturity)
airecon "prioritize CVEs by risk score"
# Output exemplo:
# 1. CVE-2026-41940 (cPanel) - Risk: 98/100 - CRITICAL
# CVSS: 9.8, EPSS: 0.85, KEV: Yes, PoC: Available
# 2. CVE-2026-31431 (Linux LPE) - Risk: 92/100 - CRITICAL
# CVSS: 8.4, EPSS: 0.72, KEV: No, PoC: Available
# 3. CVE-2022-40624 (pfBlockerNG) - Risk: 87/100 - HIGH
# CVSS: 9.8, EPSS: 0.45, KEV: No, PoC: Available
# AIRecon gera attack chains automaticamente
airecon "discover attack chains for Apache HTTP Server 2.4"
# → Usará mcp__hexstrike-local__discover_attack_chains
# Output: Multi-stage attack chains com:
# - Vulnerability combinations
# - Success probability estimates
# - Exploit availability status
# - Recommended exploitation order
# 1. WorstAssume enumera IAM e identifica vulnerabilidades
airecon "worst enumerate --profile my-profile --stealth"
# 2. AIRecon processa findings do WorstAssume
# 3. Para cada finding, AIRecon mapeia PATH-IDs
airecon "map findings to PATH-IDs"
# 4. AIRecon gera attack chains baseadas em PATH-IDs
airecon "generate attack chains from PATH-001,PATH-015,PATH-036"
# 5. Exportar attack chains para relatório
airecon "export attack chains to JSON"