Incident Response

Security Log Analyzer

Paste sample logs and extract IPs, timestamps, users, URLs and severity indicators -- all processed locally in your browser.

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Lines

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IPv4 addresses

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IPv6 addresses

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Timestamps

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Usernames

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URLs

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Email addresses

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HTTP status codes

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Severity flags

Log parsing happens entirely in your browser using regular expressions. Nothing you paste here -- including sensitive hostnames, IPs or credentials -- is uploaded or stored anywhere.

What this tool does

The Security Log Analyzer scans pasted log text with pattern matching to pull out the fields analysts usually care about first: IPv4/IPv6 addresses, ISO 8601 and syslog-style timestamps, usernames, URLs, email addresses, HTTP status codes, and common severity keywords like error, warn, critical, fail, denied and success. It also tallies which IP addresses appear most often so you can spot likely "top talkers" at a glance.

Why SOC analysts use it

During triage, incident response or log review, the first useful step is often just surfacing the structured pieces buried in unstructured text -- who did what, from where, and when -- without reaching for a full SIEM. Pasting a small excerpt here gives a quick, disposable summary before deciding whether an entry needs deeper investigation.

How it works

Each category uses a dedicated regular expression: IPv4/IPv6 formats, ISO 8601 (2024-03-11T08:14:02Z) and syslog (Mar 11 08:15:19) timestamp shapes, user=/username=/for <name> patterns for usernames, http(s):// URLs, RFC-style email addresses, trailing three-digit HTTP status codes, and a keyword list for severity terms. Matches are deduplicated and sorted for each category, and IP occurrences are counted separately to build the top-talkers table.

Step by step

  1. 1Paste raw log lines into the text box, or click Load sample log to see it in action.
  2. 2Review the summary stat grid for a quick sense of volume and variety.
  3. 3Check the top talkers table to spot IP addresses that appear unusually often.
  4. 4Scroll through each extracted category -- IPs, timestamps, users, URLs, emails, status codes, severity flags -- for detail.
  5. 5Copy the raw text back out, or clear and paste a new excerpt.

Common mistakes

  • Assuming every extracted 'IP' is externally routable -- private ranges like 10.x and 192.168.x show up too and need context.
  • Treating high frequency alone as proof of malicious activity -- a busy legitimate service will also top the list.
  • Pasting logs with non-standard timestamp formats and expecting them to be recognized automatically.
  • Relying solely on keyword matching for severity -- always confirm by reading the surrounding log line.

Security considerations

This tool performs no network requests -- parsing runs entirely client-side in your browser, so it's safe to paste sensitive excerpts from internal systems for a quick look. That said, treat any log data containing real credentials, tokens or personal information carefully, and avoid pasting logs into any tool (including this one) on a shared or untrusted machine.

Frequently asked questions

Does this tool understand every log format?

It uses general-purpose pattern matching for common formats (ISO 8601 timestamps, syslog-style timestamps, standard IPv4/IPv6, typical username fields). Highly custom or proprietary log formats may not extract perfectly.

Is my log data sent anywhere?

No. All parsing happens locally in your browser with JavaScript regular expressions. Nothing is uploaded, logged, or stored -- refreshing the page clears everything.

Why do some private IP addresses show up as 'top talkers'?

The tool counts any IPv4-shaped match, including private ranges such as 10.x.x.x or 192.168.x.x. High frequency just reflects how often an address appears in the pasted text, not whether it's suspicious.

Can it detect attacks or classify severity automatically?

No -- it surfaces raw indicators like severity keywords and status codes so you can investigate faster, but it doesn't perform correlation, scoring, or automated threat detection.