Stealer log analysis · for IR

Reconstruct the Infection
In Minutes, Not Hours

Drop a stealer log archive. StealerLens parses browser history, screenshots, system info, and installed software; then returns a structured infection hypothesis ready for your incident report.
1ZIP
Drop. Run. Read.
8
Artifact streams correlated
~2min
Median time to hypothesis

StealerLens can surface sensitive data buried in stealer logs. With great power comes great responsibility. In order to access you need to have the Verified Practitioner role on the Flare Academy Discord. Get verified by following the procedure documented in the #verify-here channel.

01 · Input acme_stealer.zip
Files 84 ZIP
Bytes 12.4 MB RAW
Origin lumma · 2024-03-14 LEAKED
02 · Enrichment extract · correlate
Creds 23 saved PARSED
History 412 urls PARSED
Shots 4 captured OCR
03 · Hypothesis Infection vector Live
Vector cracked installer CONFIRMED
Source filemafia[.]ru FLAGGED
Score 0.84 confidence HIGH

Capabilities

Three streams. One hypothesis.
Highest

Automated infection hypotheses

Examines browser history, screenshots, and software artifacts to reconstruct how the victim was infected; structured output you paste straight into the report.
module · hypothesis_v2
OCR · VLM

Screenshot analysis

Desktop captures get OCR'd and read by a vision model: surfaces visible IOCs, suspicious apps, and infection vectors caught on screen
module · screen_vlm
Cross-source

Software × history correlation

Cross-references installed software with recent browsing activity to flag cracked installers, fake updates, and social-engineering patterns.
module · correlate

How It Works

Three steps. No surprises.
01 · Drop

Drag a stealer log ZIP into StealerLens.

accepts · *.zip · ≤ 10 MB
02 · Extract

StealerLens unzips, indexes, and correlates every artifact automatically.

parses · history · creds · screens · software · system
03 · Read

Review the hypothesis, supporting evidence, and confidence scores.

Where to get logs

Sourcing & Access

Pull stealer logs from a legitimate threat intelligence provider that collects them as part of monitoring, for example, Flare ships them as part of its exposure platform. Never purchase from threat actors or underground marketplaces; it funds cybercrime and may expose you to legal liability.
Access StealerLens
Get Access

How to get Access

1

Join the Flare Academy Discord and follow the instructions in the #verify-here channel.

2

Get verified. Verification is based on your work email, LinkedIn, and employer, plus a short video verification call. Full details: become a verified community member

3

Once you hold the verified-practitioners role, authenticate at stealerlens.flare.io and start analyzing.

Access StealerLens
What to know about stealer lens

Frequently Asked Questions

StealerLens reads a stealer log and produces a documented infection hypothesis in minutes. It tells you the most likely source of the infection, what the malware was disguised as, the behaviors it exhibited, the delivery vector, and it points to the specific lines in the log that support each conclusion.

Analyzing a stealer log can take hours. On average a stealer is 2.3 megabyte of compressed text so roughly 1.5 million words, or about 5,000 pages. StealerLens, in around two minutes, will create a complete incident report and will point the analyst to the supporting evidence for manual verification.

All security teams and threat analysts. In particular, security teams particularly in heavily regulated industries (e.g. financial institutions, government/federal, healthcare, etc.) and organizations with strict security rules are not permitted to download stealers on their work machines. Stealer Lens removes that barrier entirely — users submit the data and receive the analyzed output, which is authorized in environments where downloading the raw stealer is not.