Skip to content
ai-supply.store
DiscoverCategoriesLeaderboardsCommunityAgent APIFAQ
Sign inSign up free
catalog / Cybersecurity / Prowler — Cloud Security Posture Manager
△EvalCybersecurityFree

Prowler — Cloud Security Posture Manager

Apache-licensed multi-cloud security assessment tool covering 500+ checks across AWS, Azure, GCP, and Kubernetes, including AI service misconfigurations.

@ai-supply
Installs165k
⟳ upstream 5.36.0 · updated 2d ago
↗ Source repository
← More CybersecurityCybersecurity leaderboard →How we grade security →Source ↗
✓ Grade A · 100/100 · SafeSecurity assessment
✓No compromise signals35capabilities surfaced4of 20 OWASP controls clear
Low-confidence secret matchBroad capability surfacePotentially unbounded loopLow-confidence secret match
scanned 20h ago · partial·osv · gitleaks · opengrep · picklescan + heuristics·full breakdown in the Security tab ↓

Prowler — Cloud Security Posture Manager

Prowler is an open-source Cloud Security Posture Management (CSPM) tool that audits AWS, Azure, GCP, and Kubernetes environments against 500+ security best practices, CIS benchmarks, SOC2, GDPR, HIPAA, and NIST frameworks. It surfaces misconfigurations in the cloud infrastructure that hosts AI workloads — S3 buckets, IAM policies, SageMaker endpoints, Azure OpenAI service settings, and more.

Key Features

  • 500+ checks across AWS (350+), Azure (100+), GCP (70+), Kubernetes
  • Compliance frameworks: CIS, PCI-DSS, HIPAA, GDPR, SOC2, NIST 800-53
  • AI-specific checks: SageMaker endpoint encryption, Bedrock model access policies, Azure OpenAI network rules
  • HTML, JSON, CSV, OCSF output; Slack/S3 integrations
  • GitHub Actions and CI/CD-ready

Quick Start

pip install prowler
# Scan AWS account
prowler aws
# Scan specific services
prowler aws --services sagemaker s3 iam
# Run CIS benchmark
prowler aws --compliance cis_1.5_aws
npx ai-supply add prowler-cloud-security-posture

Curated mirror of the open-source Prowler (Apache-2.0). Get it from the source.

Rating rank
#1
of 19 in Cybersecurity
Install rank
#5
of 19 in Cybersecurity
Security score
100/100 · A
safe
Security rank
#1
of 19 in Cybersecurity
Installs
165k
cat avg 85k
This listing vs category average
Installs
this
cat avg
Security (of 100)
this
cat avg
Adoption trend
See the Cybersecurity leaderboard →
✓ Security: Safe · 100100/100 · grade Ascanned 20h ago
✓ no compromise signals35 risk-surface · 11/20 OWASP controls flagged

Compromise signals — malicious or tampered code (leaked secrets, backdoors, a dropped executable) — reduce the score, and known dependency CVEs carry a bounded penalty (they warrant review but never QUARANTINE — update the dependency to clear). Other dangerous-by-capability traits are risk surface, expected for some capabilities. Every finding is mapped to its OWASP control below.

Control card · high confidence (static)
framework: pytestcovers: secrets-leakcovers: piicovers: prompt-injection
checkboxesdropdowntextareainputmarkdowncheck_critical_pathsscannedSeveritiesstringdetectionExecutionFailed

Findings mapped to the OWASP Top 10 for LLM Applications (2025) and the OWASP Machine Learning Security Top 10. Expand any flagged control for the exact findings — compromise reduces the score; expected/risk-surface do not, except a known CVE, which carries a small bounded penalty (high/critical → Review).

OWASP Top 10 for LLM Applications
⚠LLM01Prompt Injectionhigh
Adversarial instructions embedded in an artifact that hijack a downstream LLM.
•Prompt-injection phrasing — instruction-subversion language detected · prowler/.github/workflows/issue-triage.lock.yml (CWE-77)expected
⚠LLM02Sensitive Information Disclosurehigh
Secrets, credentials or PII shipped inside the artifact.
•Email addresses present — contains email-like strings · prowler/.claude-plugin/marketplace.jsonexpected
•Low-confidence secret match — possible: hardcoded credential (test/sample) · prowler/.env (CWE-798)risk surface
•Phone number present — contains phone number-like pattern (E.164 or formatted) · prowler/api/src/backend/api/fixtures/dev/2_dev_providers.json (CWE-359)expected
•Embedded credentials — found: hardcoded credential · prowler/api/src/backend/api/tests/integration/test_authentication.py (CWE-798)expected
•Embedded credentials — found: AWS access key id, AWS secret key · prowler/api/src/backend/tasks/tests/test_tasks.py (CWE-798)expected
•Low-confidence secret match — 1 possible: generic-api-key · prowler/api/src/backend/api/migrations/0015_finding_muted.py (CWE-798)risk surface
•Low-confidence secret match — 1 possible: generic-api-key · prowler/api/src/backend/config/django/devel.py (CWE-798)risk surface
•Low-confidence secret match — 1 possible: generic-api-key · prowler/api/src/backend/config/django/testing.py (CWE-798)risk surface
•Low-confidence secret match — 2 possible: generic-api-key · prowler/.env (CWE-798)risk surface
•Low-confidence secret match — 1 possible: generic-api-key · prowler/api/src/backend/api/migrations/0014_integrations.py (CWE-798)risk surface
⚠LLM05Improper Output Handlinghigh
Code that pipes model/user output into shell, eval, SQL or paths unsafely.
•Suspicious code patterns — OS command execution · prowler/.github/scripts/changelog_attribution.py (CWE-78)expected
•Suspicious code patterns — destructive rm -rf / · prowler/.github/workflows/issue-triage.lock.yml (CWE-78)expected
•Suspicious code patterns — destructive rm -rf /; world-writable chmod 777 · prowler/Dockerfile (CWE-78)expected
•Suspicious code patterns — world-writable chmod 777 · prowler/action.yml (CWE-732)expected
•Suspicious code patterns — dynamic code execution · prowler/api/src/backend/api/tests/integration/test_authentication.py (CWE-95)expected
⚠LLM06Excessive Agencyhigh
Over-broad tool/permission surface or unrestricted egress.
•External endpoints declared — 1 distinct host(s) · prowler/.claude-plugin/marketplace.jsonexpected
•External endpoints declared — 6 distinct host(s) · prowler/.envexpected
•External endpoints declared — 3 distinct host(s) · prowler/.github/ISSUE_TEMPLATE/config.ymlexpected
•Broad capability surface — 3 high-impact capability categories referenced — verify least-privilege · prowler/.github/actions/setup-python-uv/action.yml (CWE-272)risk surface
•External endpoints declared — 2 distinct host(s) · prowler/.github/actions/slack-notification/README.mdexpected
•External endpoints declared — 5 distinct host(s) · prowler/.github/workflows/issue-triage.lock.ymlexpected
•External endpoints declared — 26 distinct host(s) · prowler/README.mdexpected
•External endpoints declared — 4 distinct host(s) · prowler/action.ymlexpected
•Egress to a private/loopback host — 169.254.169.254 · prowler/api/src/backend/api/tests/test_cypher_sanitizer.py (CWE-918)expected
•Egress to a private/loopback host — 169.254.169.254, [::ffff:a9fe:a9fe], [64:ff9b::a9fe:a9fe], 10.0.0.1 · prowler/api/src/backend/api/tests/test_validators.py (CWE-918)expected
•External endpoints declared — 13 distinct host(s) · prowler/api/src/backend/api/tests/test_validators.pyexpected
•Egress to a private/loopback host — 127.0.0.1 · prowler/api/src/backend/config/django/base.py (CWE-918)expected
⚠LLM07System Prompt Leakagehigh
Secrets, internal hosts or proprietary logic exposed in shipped prompts.
•Low-confidence secret match — possible: hardcoded credential (test/sample) · prowler/.env (CWE-798)risk surface
•Embedded credentials — found: hardcoded credential · prowler/api/src/backend/api/tests/integration/test_authentication.py (CWE-798)expected
•Internal host / private infrastructure reference — shipped content references a private IP range or internal-only host · prowler/api/src/backend/api/tests/test_health.py (CWE-200)expected
•Embedded credentials — found: AWS access key id, AWS secret key · prowler/api/src/backend/tasks/tests/test_tasks.py (CWE-798)expected
•Low-confidence secret match — 1 possible: generic-api-key · prowler/api/src/backend/api/migrations/0015_finding_muted.py (CWE-798)risk surface
•Low-confidence secret match — 1 possible: generic-api-key · prowler/api/src/backend/config/django/devel.py (CWE-798)risk surface
•Low-confidence secret match — 1 possible: generic-api-key · prowler/api/src/backend/config/django/testing.py (CWE-798)risk surface
•Low-confidence secret match — 2 possible: generic-api-key · prowler/.env (CWE-798)risk surface
•Low-confidence secret match — 1 possible: generic-api-key · prowler/api/src/backend/api/migrations/0014_integrations.py (CWE-798)risk surface
⚠LLM08Vector and Embedding Weaknessesmedium
PII or plaintext source leakage in embedding/vector exports.
Embedding inversion/poisoning is largely runtime; static check covers PII in vector exports.
•Email addresses present — contains email-like strings · prowler/.claude-plugin/marketplace.jsonexpected
•Phone number present — contains phone number-like pattern (E.164 or formatted) · prowler/api/src/backend/api/fixtures/dev/2_dev_providers.json (CWE-359)expected
⚠LLM10Unbounded Consumptionmedium
Unbounded loops/recursion causing DoS or runaway cost.
Enforced at runtime by the gateway (rate limits + spend caps + size caps); static check flags unbounded loops.
•Potentially unbounded loop — an infinite loop (while True / while(1) / for(;;)) may cause runaway consumption · prowler/api/src/backend/api/attack_paths/sink/drop.py (CWE-835)risk surface
⚠LLM03Supply Chainlow
Vulnerable/compromised dependencies, models or archives in the artifact.
•Dependency manifest — 3 pip requirements declared · prowler/api/tests/performance/requirements.txtrisk surface
§LLM09MisinformationGovernance
Artifacts designed to produce false/deceptive output.
Detectable only by runtime behavioral evaluation; addressed via responsible-use attestation.
✓LLM04Data and Model PoisoningPassed
Backdoors/poisoning in training data or serialized models.
Behavioral poisoning needs model execution; static check covers unsafe serialization + dataset skew only.
OWASP Machine Learning Security Top 10
⚠ML02Data Poisoninghigh
Poisoned training datasets with triggers or anomalous distributions.
Static check covers trigger phrasing, PII and label skew; full poisoning detection is runtime.
•Email addresses present — contains email-like strings · prowler/.claude-plugin/marketplace.jsonexpected
•Prompt-injection phrasing — instruction-subversion language detected · prowler/.github/workflows/issue-triage.lock.yml (CWE-77)expected
•Phone number present — contains phone number-like pattern (E.164 or formatted) · prowler/api/src/backend/api/fixtures/dev/2_dev_providers.json (CWE-359)expected
⚠ML09Output Integrityhigh
Middleware tampering with model outputs in transit.
Gateway enforces TLS + response integrity; static check flags output-rewriting code.
•Suspicious code patterns — OS command execution · prowler/.github/scripts/changelog_attribution.py (CWE-78)expected
•Suspicious code patterns — destructive rm -rf / · prowler/.github/workflows/issue-triage.lock.yml (CWE-78)expected
•Suspicious code patterns — destructive rm -rf /; world-writable chmod 777 · prowler/Dockerfile (CWE-78)expected
•Suspicious code patterns — world-writable chmod 777 · prowler/action.yml (CWE-732)expected
•Suspicious code patterns — dynamic code execution · prowler/api/src/backend/api/tests/integration/test_authentication.py (CWE-95)expected
⚠ML06AI Supply Chainlow
Compromised PyPI/npm packages, typosquats, unsafe serialized models.
•Dependency manifest — 3 pip requirements declared · prowler/api/tests/performance/requirements.txtrisk surface
§ML01Input Manipulation (Adversarial)Governance
Models vulnerable to adversarial perturbations.
Requires runtime robustness evaluation; addressed via publisher robustness attestation.
§ML03Model InversionGovernance
Training data reconstructable from a model's outputs.
Runtime/evaluation property; addressed via model-card data-provenance + DP attestation.
§ML04Membership InferenceGovernance
Determining whether a record was in the training set.
Runtime/evaluation property; addressed via overfitting disclosure + DP attestation.
§ML08Model SkewingGovernance
Models trained on skewed data producing biased output.
Requires fairness evaluation; addressed via model-card bias/limitations disclosure.
✓ML05Model TheftPassed
Unlicensed re-distribution / license-incompatible derivatives.
Static check verifies license declaration; extraction throttling is runtime.
✓ML07Transfer Learning AttackPassed
Backdoored base models / LoRA adapters propagating to derivatives.
Backdoor detection needs behavioral probing; static check covers unsafe serialization + provenance.
✓ML10Model Poisoning (Weights)Passed
Tampered model weight files; integrity must be verifiable.
Static check enforces safe formats + records a content hash for downstream verification.
Other findings (8) · hygiene / uncategorized
•Unrecognized file type — '.env' is not on the allowlist · prowler/.envrisk surface
•Unrecognized file type — '.?' is not on the allowlist · prowler/Dockerfilerisk surface
•Suspicious network references — raw IP URL (6 URLs) · prowler/api/src/backend/api/tests/test_cypher_sanitizer.pyexpected
•Suspicious network references — raw IP URL (25 URLs) · prowler/api/src/backend/api/tests/test_validators.pyexpected
•Suspicious network references — raw IP URL (8 URLs) · prowler/api/src/backend/config/django/base.pyexpected
•Suspicious network references — raw IP URL (3 URLs) · prowler/api/src/backend/config/django/production.pyexpected
•Unrecognized file type — '.ini' is not on the allowlist · prowler/api/src/backend/pytest.inirisk surface
•Suspicious network references — raw IP URL (13 URLs) · prowler/api/src/backend/tasks/tests/test_tasks.pyexpected
✔ verified source · pinned partial
Check against a policy

The same gate an agent runs before installing (POST /api/v1/trust/prowler-cloud-security-posture/check). Click a policy:

Consume Prowler — Cloud Security Posture Manager programmatically. Authenticate with an API key or session — see Authorize an agent.

# Agents: CHECK BEFORE YOU INSTALL (no auth) — score, grade, level, capability manifest
curl https://ai-supply.store/api/v1/trust/prowler-cloud-security-posture

# Gate against your org policy (returns { pass, violations })
curl -X POST https://ai-supply.store/api/v1/trust/prowler-cloud-security-posture/check \
  -H "Content-Type: application/json" \
  -d '{"minGrade":"B","denyPermissions":["shell"],"denyUnknownEgress":true}'

# CLI
npx ai-supply add prowler-cloud-security-posture

# REST (install → download)
curl -X POST https://ai-supply.store/api/v1/listings/prowler-cloud-security-posture/install \
  -H "Authorization: Bearer $AIM_KEY"

# MCP tool
install_listing({ "slug": "prowler-cloud-security-posture" })
OpenAPI spec →
vlatest
✓ Security: Safe · 1001mo ago

Curated mirror — latest upstream source. See the repository for tagged releases.

Sign in and install this listing to leave a review.

More from @ai-supply

View profile →
◉Agent
MetaGPT
Multi-agent framework that assigns GPT roles (PM, engineer, QA) to solve complex software tasks end-to-end.
↓ 1.0M
⇄Connector
vLLM
High-throughput, memory-efficient LLM inference engine with PagedAttention and continuous batching.
↓ 892k
⇄Connector
Meilisearch
Lightning-fast open-source search engine with typo-tolerance, semantic hybrid search, and sub-50ms response times.
↓ 811k
△Eval
Weights & Biases (wandb)
ML experiment tracking and visualization — log metrics, hyperparameters, models, and media in real time.
↓ 784k
ai-supply.store

Free, security-vetted AI capabilities — skills, MCPs, plugins, agents, datasets and more, each graded and freshness-tracked, and built for humans and agents alike.

api · v3.1status · all green
Contact
support@ai-supply.storesecurity@ai-supply.store
Catalog
  • Discover
  • Categories
  • Leaderboards
  • Benchmarks
  • Security
  • Scan a repo
Community
  • Community
  • FAQ
For agents
  • Quickstart (60s)
  • Authorize an agent
  • Agent API
  • OpenAPI spec
For builders
  • Publish
  • Dashboard
Account
  • Create account
  • Sign in
  • Settings
Legal
  • Terms
  • Publisher Agreement
  • Acceptable Use
  • Privacy