thinQtankLABS

Detection Engineering & Incident Response: CVE-2025-3248

Respond to a Langflow unauthenticated code-injection compromise (CVE-2025-3248). Reconstruct the timeline from the access and service logs, see how /api/v1/validate/code executed posted code with no auth, find the rogue-cron persistence, engineer a detection rule for the code endpoint, then contain, eradicate, upgrade, verify and report - including rotating keys.

Intermediate 21 guided steps 6 tasks About 75 minutes Runs in your browser

Skills you will practice

  • Log analysis
  • detection and IR; Incident-handling lifecycle; Code injection and IOCs; Security Operations domain

The scenario

An internet-facing Langflow host (CVE-2025-3248 open) logged unauthenticated POSTs to /api/v1/validate/code with Python payloads, then the process spawned a shell. You are the responder. Classify it.

What you will do

  1. Open and classify the incident4 steps

    Open the incident · Read the alert · Read the ticket · Classify it

  2. Reconstruct the timeline3 steps

    Pull the attacker’s requests · Correlate the service log · What made RCE possible?

  3. Impact and persistence3 steps

    Inspect the rogue cron · What persistence? · Record IOCs

  4. Engineer a detection rule4 steps

    Study the sample · Write a rule · Test and tune · Why not flag every validate call?

  5. Contain, eradicate, verify5 steps

    Contain: restrict the endpoint · Eradicate the persistence · Upgrade Langflow · Verify the host · …

  6. Report2 steps

    Write the report · What must also be rotated?

How this lab works

A real Linux-style console. Commands run against real files, so hashes, hex dumps and comparisons give real results.

A file browser where you can place evidence into the lab, either the file provided or one of your own.

Reset a single step, a whole task or the entire lab. The environment is rebuilt so you can try again cleanly.

Progress saves after every step. Close the tab and come back later; your files and answers are waiting.