detecting-api-enumeration-attacks
Detect and prevent API enumeration attacks including BOLA and IDOR exploitation by monitoring sequential identifier access patterns and authorization failures.
Skill by 2003gdb
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: backend
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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codeload.github.com· found in install command
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~/.claude/skills/detecting-api-enumeration-attacks
What's inside
- Skill name
detecting-api-enumeration-attacks- Description
- Detect and prevent API enumeration attacks including BOLA and IDOR exploitation by monitoring sequential identifier access patterns and authorization failures.
- License
- Apache-2.0
- Instructions
- 398 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Detecting API Enumeration Attacks
## Overview
API enumeration attacks occur when attackers systematically probe API endpoints with sequential or predictable identifiers to discover and access unauthorized resources. Broken Object Level Authorization (BOLA), ranked as API1:2023 in the OWASP API Security Top 10, is the most critical API vulnerability. Attackers manipulate object identifiers (user IDs, order numbers, account references) in API requests to bypass authorization and access other users' data. Detection requires monitoring for patterns of rapid sequential access attempts, authorization failures, and abnormal API usage behavior.
## When to Use
- When investigating security incidents that require detecting api enumeration attacks
- When building detection rules or threat hunting queries for this domain
- When SOC analysts need structured procedures for this analysis type
- When validating security monitoring coverage for related attack techniques
## Prerequisites
- API gateway or reverse proxy with logging enabled (Kong, AWS API Gateway, Apigee)
- SIEM platform (Splunk, Elastic SIEM, or Microsoft Sentinel)
- Access to API server logs with request details
- Web Application Firewall (WAF) with API protection capabilities
- Understanding of the API's authorization model and object identifier schemes
## Attack Patterns to Detect
### 1. Sequential ID Enumeration
Attackers iterate through numeric or predictable identifiers:
```
GET /api/v1/users/1001 -> 200 OK
GET /api/v1/users/1002 -> 200 OK
GET /api/v1/users/1003 -> 403 Forbidden
GET /api/v1/users/1004 -> 200 OK
GET /api/v1/users/1005 -> 200 OK
...
```
**Detection Indicators:**
- Rapid sequential requests to the same endpoint with incrementing IDs
- Mix of 200/403/401 responses from same source
- Request rate exceeding normal user behavior
- Access to resources outside authenticated user's scope
### 2. UUID/GUID Enumeration
Even non-sequential identifiers can be enumerated if leaked through other endpoints:
```
# Attacker first harvests UUIDs from a list endpoint
GET /api/v1/posts?page=1 -> Returns post objects with author UUIDs
# Then uses those UUIDs to access restricted user data
GET /api/v1/users/a3f2c1e4-... -> Private user profile
GET /api/v1/users/b7d9e8f1-... -> Private user profile
```
### 3. Parameter Tampering Enumeration
```
# Authenticated as user_id=100, attempting to access other users' orders
GET /api/v1/orders?user_id=101
GET /api/v1/orders?user_id=102
GET /api/v1/orders?user_id=103
```
## Detection Rules
### Splunk Detection Queries
```spl
# Detect sequential ID enumeration on API endpoints
index=api_logs sourcetype=api_access
| rex field=uri_path "(?<endpoint>/api/v\d+/\w+/)(?<object_id>\d+)"
| stats count as request_count,
dc(object_id) as unique_ids,
values(status_code) as status_codes,
min(_time) as first_seen,
max(_time) as last_seen
by src_ip, endpoint, user_session
| eval time_span = last_seen - first_seen
| eval requests_per_second = request_count / max(time_span, 1)
| where unique_ids > 20 AND requests_per_second > 2
| eval severity = case(
unique_ids > 100, "critical",
unique_ids > 50, "high",
unique_ids > 20, "medium",
1==1, "low"
)
| sort - unique_ids
| table src_ip, endpoint, unique_ids, request_count, requests_per_second,
status_codes, severity
# Detect BOLA via authorization failure patterns
index=api_logs sourcetype=api_access status_code IN (401, 403)
| bin _time span=5m
| stats count as failure_count,
dc(uri_path) as unique_paths,
values(uri_path) as attempted_paths
by _time, src_ip, user_id
| where failure_count > 10
| eval attack_type = if(unique_paths > 5, "enumeration", "brute_force")
```
### Elastic SIEM Detection Rules
```json
{
"rule": {
"name": "API Object Enumeration Detection",
"description": "Detects rapid sequential access to API objects with mixed authorization results",
"type": "threshold",
"index": ["api-access-*"],
"query": {
"bool": {
"must": [
{ "regexp": { "url.path": "/api/v[0-9]+/[a-z]+/[0-9]+" } }
],
"should": [
{ "term": { "http.response.status_code": 200 } },From 2003gdb/My-Claude-Workflows, Apache-2.0.
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Signals
- Stars
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- Last commit (this folder)
- May 16, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/2003gdb/My-Claude-Workflows
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
detecting-api-enumeration-attacks skill. Agent Mart. https://agentmart.dev/skills/2003gdb-detecting-api-enumeration-attacks (last updated 2026-10-24)