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SkillsMP는 NoorQureshi/SploitAgent에서 100개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
수집된 skill 100개 중 40개를 표시합니다.
Attack Active Directory Certificate Services (ADCS) — ESC1–ESC8 template/CA misconfigurations to escalate to Domain Admin. Load with a domain foothold/creds where ADCS is present, on "certipy", "ESC1", "certificate template", or a CA server. Signals: Cert…
원문 언어: 영어
Abuse Active Directory object ACLs/DACLs for lateral movement and escalation — GenericAll, WriteDACL, GenericWrite, WriteOwner, AddMember, ForceChangePassword, and DCSync rights. Load with domain creds + BloodHound showing an ACL edge, on "GenericAll",…
원문 언어: 영어
Kerberoasting & AS-REP roasting — request/crack Kerberos tickets to recover service/user passwords offline. Load with any domain foothold or valid domain creds, on "kerberoast", "AS-REP", SPNs, service accounts, ports 88/389. Signals: domain creds in hand,…
원문 언어: 영어
One line: Active Directory, pivoting/tunneling, and password-cracking arsenal for authorized engagements. Trigger signals: "Active Directory", "domain", "kerberos", "kerberoast", "AS-REP", "BloodHound", "DCSync", "AD/.local domain", holding domain creds or a…
원문 언어: 영어
Abuse an LLM agent's tools/functions — coerce it to call tools with attacker-chosen args for SSRF, RCE, data exfil, or privilege abuse. Load when the target is an agent with tools/ function-calling/plugins, MCP servers, code interpreters, or "the assistant…
원문 언어: 영어
Exploit apps that trust LLM output — pass model text unsanitized into XSS sinks, SQL, shell, code, or downstream calls. Load when LLM output is rendered as HTML/markdown, executed, or fed to another system. Signals: chatbot output shown with…
원문 언어: 영어
Bypass an LLM's safety/guardrails to make it produce restricted output or ignore its policy. Load when testing an AI product's content controls, "jailbreak", "guardrail bypass", refusal testing, or safety evals. Signals: a chatbot/assistant with a usage…
원문 언어: 영어
Unbounded-consumption / denial-of-wallet attacks on LLM apps — force runaway tokens, cost, or latency. Load when testing an LLM product's limits/billing, on "LLM DoS", cost amplification, or resource exhaustion. Signals: user-controlled prompts/max_tokens,…
원문 언어: 영어
Assess Model Context Protocol (MCP) servers and agent tool integrations — tool poisoning, prompt injection via tool descriptions/results, over-broad scopes, and unauth tool exposure. Load when the target uses MCP servers, agent tool/function integrations, or…
원문 언어: 영어
Extract or steal an ML/LLM model's parameters, training data, or system prompt via query access — model stealing, membership inference, training-data extraction. Load when testing an ML API/endpoint, "model extraction/inversion", data-leakage or IP-theft…
원문 언어: 영어
Test LLM-backed apps for prompt injection (direct + indirect) and its consequences: data exfil, tool/function abuse, guardrail bypass. Load when the target is a chatbot/assistant/ agent, summarizes untrusted content, has tools/functions, or does RAG. Signals:…
원문 언어: 영어
Poison a RAG/knowledge-base pipeline so retrieved content hijacks the model (indirect prompt injection at scale) or exfiltrates data. Load when the app does retrieval over documents/URLs/ tickets/emails the attacker can influence, "RAG", vector DB, "knowledge…
원문 언어: 영어
Attack the ML/LLM supply chain — poisoned models, datasets, plugins, and unsafe model deserialization. Load when an app loads third-party models/weights (HuggingFace, .pt/.pkl/.h5), installs ML deps, uses plugins/extensions, or fine-tunes on external data.…
원문 언어: 영어
Break API authentication: token handling, key leakage, weak session/JWT, and no-auth endpoints. Load on REST/GraphQL APIs using API keys, Bearer tokens, HMAC signing, or basic auth. Signals: `Authorization` headers, api_key params, tokens in URLs, /v1 vs /v2…
원문 언어: 영어
Broken Object/Function Level Authorization in REST/JSON APIs (the #1 API risk). Load on any REST API with object ids in paths/bodies (/api/v1/users/123, /orders/{id}), Bearer auth, mobile-app backends, or admin vs user function separation. Signals:…
원문 언어: 영어
Discover and fuzz API endpoints, methods, params, and versions systematically. Load when you have an API base but not its full surface, an OpenAPI/Swagger/Postman spec, or "map/fuzz the API". Signals: /api, /v1, swagger.json, GraphQL, mobile backend,…
원문 언어: 영어
Attack GraphQL APIs. Load on /graphql, /graphiql, /v1/graphql, a POST with {"query":"..."}, Apollo/Hasura/graphene stacks, or "query/mutation" language. Signals: introspection enabled, batched queries, deeply nested fields, __schema, aliases.
원문 언어: 영어
Test gRPC / Protocol Buffers APIs — reflection, method enumeration, authz, and injection. Load on gRPC services (HTTP/2, content-type application/grpc, .proto files, ports like 50051), grpc-web, or "protobuf". Signals: grpc, protobuf, reflection service,…
원문 언어: 영어
Mass assignment / auto-binding privilege escalation. Load when an API binds JSON directly to a model (Rails, Spring, Django REST, Node/Mongoose), on signup/profile-update/create endpoints, or when responses expose fields you didn't send (role, isAdmin,…
원문 언어: 영어
Bypass a MongoDB aggregation-pipeline stage allowlist by nesting disallowed read stages inside $facet, then $unionWith/$lookup sibling collections to exfiltrate secrets (invite tokens, creds, hashes). Load when: an endpoint accepts a user-supplied `pipeline`…
원문 언어: 영어
Find and attack old/shadow API versions that missed a fix — improper inventory management. Load when the API is versioned (/v1, /v2, /api/2021-01), on "old API", or after mapping the surface. Signals: version in path/header/subdomain, deprecated docs, mobile…
원문 언어: 영어
Write custom nuclei templates to codify a finding into a repeatable, mass-scannable check. Load on "write a nuclei template", turning a manual bug into automation, checking a CVE across many hosts, or regression-scanning. Signals: a reproducible…
원문 언어: 영어
Chain recon tools into a repeatable, resumable pipeline for continuous bug-bounty coverage. Load on "automate recon", "recon pipeline", monitoring many programs, or scaling subdomain→ live→scan. Signals: wildcard scope at scale, wanting scheduled/continuous…
원문 언어: 영어
Attack Azure / Entra ID — managed-identity token theft, Entra (Azure AD) role abuse, and app/ storage misconfig. Load when the target is on Azure, you hold Azure creds/a token, or see Entra/AAD/azurewebsites/blob.core.windows.net. Signals: 169.254.169.254…
원문 언어: 영어
Break out of a container to the host. Load when you have a shell in a container/pod and want the node: privileged container, mounted docker.sock, dangerous capabilities, hostPath, or "escape the container". Signals: /.dockerenv, cgroup shows docker/k8s,…
원문 언어: 영어
Find and loot exposed container registries — image pull/push, secrets baked in layers, and registry misconfig. Load on exposed Docker registry (port 5000, /v2/), a registry URL, harbor/ECR/ GCR/ACR references, or "container registry". Signals: /v2/_catalog,…
원문 언어: 영어
Attack Google Cloud Platform — metadata/SA token theft, IAM privilege escalation, and storage/ function misconfig. Load when the target runs on GCP, you hold a GCP SA key/token, or see gcp/gcloud/GCE/GKE/appspot. Signals: metadata.google.internal,…
원문 언어: 영어
Escalate privileges in cloud IAM (AWS/GCP/Azure) from a low-priv set of credentials. Load when you hold cloud creds/keys/a role and want higher privilege or new resources. Signals: leaked AWS keys, an assumed role, a service-account token, "escalate in…
원문 언어: 영어
Escalate SSRF to cloud credential theft via the instance metadata service (IMDS). Load when SSRF is confirmed AND the target runs on AWS/GCP/Azure. Signals: 169.254.169.254 reachable, cloud-hosted app, SSRF that can set arbitrary Host/headers, "metadata".
원문 언어: 영어
Attack exposed Kubernetes: API server, kubelet, etcd, dashboards, and RBAC. Load on k8s signals — ports 6443/10250/2379/8443, /api/v1, kube-dns, a pod foothold, or "kubernetes/k8s". Signals: kubectl, service-account tokens, exposed dashboard, container in a…
원문 언어: 영어
Find and prove misconfigured cloud object storage (S3/GCS/Azure Blob). Load when assets load from *.s3.amazonaws.com, storage.googleapis.com, *.blob.core.windows.net, bucket-looking hostnames, or "bucket". Signals: public-read/list, unauthenticated writes,…
원문 언어: 영어
Review CI/CD pipelines for security flaws — poisoned workflows, secret leakage, and injection. Load on GitHub Actions / GitLab CI / Jenkins config, ".github/workflows", pull_request_target, self-hosted runners, or "pipeline security". Signals: workflow YAML,…
원문 언어: 영어
Grep-ready dangerous function/sink catalog per language for fast code review. Load when reviewing source in PHP, Python, JavaScript/Node, Java, Ruby, Go, .NET/C# and you need the exact functions that cause RCE/SQLi/SSRF/traversal/deserialization. Signals:…
원문 언어: 영어
Systematic manual source-code security review — how to find bugs by reading code. Load on "review this code/repo", a source-available target, whitebox testing, or auditing a PR/app for vulnerabilities. Signals: a codebase in scope, "SAST", "secure code…
원문 언어: 영어
Security review of Node.js / JavaScript code — dangerous sinks and Express/framework pitfalls. Load when reviewing a Node/JS codebase/PR, on package.json + Express/Next/Nest, or "review this Node app". Signals: child_process, eval, Function, prototype…
원문 언어: 영어
Security review of Python code — dangerous sinks and framework-specific pitfalls (Django/Flask/ FastAPI). Load when reviewing a Python codebase/PR, on .py source in scope, or "review this Python". Signals: requirements.txt/pyproject, Django/Flask/FastAPI,…
원문 언어: 영어
Find leaked secrets in code, git history, and CI. Load on "secrets", "leaked key", a repo/ git history in scope, exposed .git, CI config review, or public-repo OSINT. Signals: API keys, tokens, .env files, private keys, cloud creds, hardcoded passwords.
원문 언어: 영어
Write portable detections as Sigma rules and map them to MITRE ATT&CK, then convert to your SIEM. Load for blue-team/detection-engineering tasks: "write a detection", "sigma rule", "alert on", turning an offensive technique or an incident into a repeatable…
원문 언어: 영어
First-response DFIR triage: scope an incident, collect volatile evidence, and find attacker activity on Linux/Windows. Load on "incident", "we got breached", "investigate this host", "IOCs", suspected compromise, or forensic triage. Signals: alert to…
원문 언어: 영어
Turn offensive findings into concrete hardening — the fix side of each vuln class, plus config baselines. Load for blue-team/remediation tasks, "how do we fix/prevent", secure config review, or writing the remediation section of a report. Signals: "harden",…
원문 언어: 영어