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.

mukul975/Anthropic-Cybersecurity-Skills|Updated May 25, 2026

Works with

Claude CodeCursorClineWindsurf

Installation Guide

Select your AI agent

How to use hunting-credential-stuffing-attacks on Cursor

AI-first code editor with Composer

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

›Cursor installed and configured on your machine
›Node.js 16+ with npm — verify with node --version
›Active project directory where you want to add hunting-credential-stuffing-attacks

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/hunting-credential-stuffing-attacks

Fetches hunting-credential-stuffing-attacks from mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?

│

│ ── Universal (.agents/skills) ────────────────

│ · Cline · Codex · Goose · Windsurf

│ ●Cursor(selected)

│ · Cursor · Aider · Continue

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/hunting-credential-stuffing-attacks

Restart Cursor to activate hunting-credential-stuffing-attacks. Access via /hunting-credential-stuffing-attacks in your agent's command palette.

⚠

Security Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.

›View source on GitHub ›Skills CLI docs ›About Cursor ›What are agent skills?

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

✓

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

✓

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

✓

Improve work quality by 30-40% with less effort

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

Instructions

Analyze authentication logs to detect credential stuffing by identifying patterns of distributed login failures, high IP diversity, and suspicious ASN distribution.

import pandas as pd from collections import Counter # Load auth logs df = pd.read_csv("auth_logs.csv", parse_dates=["timestamp"]) # Credential stuffing indicator: many IPs trying few accounts ip_per_account = df[df["status"] == "failed"].groupby("username")["source_ip"].nunique() accounts_under_attack = ip_per_account[ip_per_account > 50]

Key detection indicators:

High unique source IPs per failed username

Low success rate across many accounts (< 1%)

ASN concentration from cloud/proxy providers

Geographic impossibility (same account, distant locations)

User-agent uniformity across distributed IPs

# Password spray: one password tried across many accounts spray = df[df["status"] == "failed"].groupby(["source_ip", "password_hash"]).agg( accounts=("username", "nunique")).reset_index() sprays = spray[spray["accounts"] > 10]

name	hunting-credential-stuffing-attacks
description	'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. '
domain	cybersecurity
subdomain	security-operations
tags	- hunting - credential - stuffing - attacks
version	'1.0'
author	mahipal
license	Apache-2.0
nist_csf	- DE.CM-01 - RS.MA-01 - GV.OV-01 - DE.AE-02

hunting-credential-stuffing-attacks

Installation Guide

How to use hunting-credential-stuffing-attacks on Cursor

Prerequisites

Run the install command

Select Cursor when prompted

Verify installation

Security Notice

Documentation

List & Monetize Your Skill

Use Cases

Task Automation & Efficiency

Knowledge Enhancement

Quality Improvement

Install Skill

Hunting Credential Stuffing Attacks

When to Use

Prerequisites

Instructions

Examples

Implementation Guide

Best Practices

When to Use This

Learning Path

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