Parse and analyze security logs (Apache, Nginx, auth.log). Detect brute force attempts, anomalies, and suspicious patterns.
Security Log Analyzer examines pasted Apache access logs, Nginx access logs, and auth.log-style authentication records. It extracts recognizable events and highlights repeated failures, unusual requests, anomalies, and other suspicious patterns that may warrant investigation. Results depend on the fields and timestamps preserved in the source log. The common surprise is that a warning is evidence of a pattern, not proof of an attack or the identity behind an IP address. Because these logs can contain addresses, account names, and requested paths, analysis runs entirely in the browser and nothing is uploaded.
The analyzer reads the input line by line and interprets records that resemble supported Apache, Nginx, or auth.log formats. Depending on the record, relevant evidence can include timestamps, client addresses, HTTP methods, request targets, status codes, authentication outcomes, and the program that emitted a message. Missing or nonstandard fields limit which connections the report can make.
After parsing, the tool compares related events to surface repeated authentication failures, concentrated activity from the same source, unusual request behavior, and other suspicious sequences. A finding summarizes what appears in the supplied sample only. It does not inspect network traffic, recover omitted log entries, identify the person operating an address, or confirm that a request succeeded beyond what the record states.
No. The address is the source recorded by that logging point, which may be a reverse proxy, VPN, shared gateway, NAT device, or compromised host. It can support correlation, but it does not establish a person's identity. Check proxy configuration, forwarding headers, authentication records, timestamps, and other independent evidence before drawing an attribution conclusion.
Apache and Nginx permit administrators to define custom access-log layouts, while auth.log content varies by operating system, daemon, and configuration. A line can therefore be legitimate yet lack the arrangement or fields needed for recognition. Compare it with the active server logging directive, preserve complete unwrapped lines, and analyze distinct formats separately when results look inconsistent.
The behavioral notes were checked against the browser implementation. Standards and primary references below define the relevant format, formula, or platform behavior.
Generate strong, random passwords with customizable length, character sets, and complexity requirements.
Analyze password strength with entropy scoring, crack-time estimates, and improvement suggestions.
Create cryptographically random strings for API keys, tokens, salts, and unique identifiers.
Create QR codes for URLs, text, Wi-Fi credentials, vCards, and more with customizable size and colors.
Scan and decode QR codes from uploaded images or your device camera to extract embedded data.
Compute MD5, SHA-1, SHA-256, and SHA-512 checksums to verify file integrity and detect tampering.