Individual skill
hunting-credential-stuffing-attacks
Detects credential stuffing attacks by analyzing authentication logs for login velocity anomalies, ASN diversity, password spray patterns, and geographic distribution of failed logins. Uses statistical analysis on Splunk or raw log data. Use when investigating account takeover campaigns or building detection rules for auth abuse.
internal/tools/skills/data/security-operations/hunting-credential-stuffing-attacks/SKILL.md
Source commit d42f381ad34843e71a42658e5c57290c713e85af
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- Observed behavior
- Instructions only
- Last checked
- Nov 9, 2026
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- Repository stars (not skill ratings)
- 1,331
- Repository last updated
- Nov 9, 2026
- License
- Apache-2.0
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- cybersecurity Repository topic
- security Repository topic
- bug-bounty Repository topic
- automation Repository topic
- autonomous-pentesting Repository topic
- ai-agent Repository topic
- ai-security Repository topic
- ethical-hacking Repository topic
- golang Repository topic
- penetration-testing Repository topic
- hunting Declared skill tag
- credential Declared skill tag
- stuffing Declared skill tag
- attacks Declared skill tag
- data Derived category
- security Derived category
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# Hunting Credential Stuffing Attacks
## When to Use
- When investigating security incidents that require hunting credential stuffing 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
## Detection Gaps & Validation
- **Low-and-slow defeats velocity thresholds:** the `ip_per_account > 50` rule misses attackers who throttle to a few attempts per account per hour spread over days. Add a long-window cumulative count and a low global success-rate signal (<1% across many accounts) rather than only burst velocity.
- **Residential/mobile proxies collapse ASN signals:** botnets routing through residential proxy networks (e.g., rotating ISP IPs) defeat "cloud/proxy ASN concentration" and geo-impossibility heuristics, since each request looks like an ordinary home user. Lean on request-fingerprint uniformity (identical `user_agent`, header order, JA3/TLS fingerprint, missing browser telemetry) across otherwise-diverse IPs.