Malicious code in deepface-weight (PyPI)
--- _-= Per source details. Do not edit below this line.=-_ ## Source: amazon-inspector (6808b9ae619e6cf9fdb59b52305e25b8e2fdb87167fbd78fae0ca6c1c07a5f1a) On import, deepface-weight spawns a daemon background thread that polls the installer's working directory for `data/telethon_market_userbot.session` for approximately 10 minutes and POSTs the file to a hardcoded webhook.site endpoint (https://webhook.site/d6ea9c5b-4a85-4e59-9397-2bb5f9407c87). Telethon session files contain live authentication material granting full access to the associated Telegram account. The exfiltration destination is bound to a variable literally named `evil_server_url` with a Russian-language comment identifying it as the attacker's server. The package name mimics the popular `deepface` ML library but ships no machine-learning code; author metadata is a placeholder (`asdqwdasdqwdasd`) with a disposable email at playboot.com. ## Source: kam193 (92f87cc2da145e4ab765c912a3a9cfb36ed6e8d21231fd511aa032edcd4b3e2b) During import, package exfiltrates the sensitive file with the Telegram session token. --- Category: MALICIOUS - The campaign has clearly malicious intent, like infostealers. Campaign: 2026-08-deepface-weights Reasons (based on the campaign): - files-exfiltration - target:telegram
AI Analysis
Technical Summary
The deepface-weight PyPI package (version 0.1.4) is a malicious package designed to steal Telegram session files named data/telethon_market_userbot.session from the installer's working directory. Upon import, it spawns a daemon thread that polls for this file for about 10 minutes and then exfiltrates it via an HTTP POST request to a hardcoded webhook.site URL. The exfiltration URL is stored in a variable named 'evil_server_url' with a Russian-language comment indicating attacker control. The package name mimics the popular deepface ML library but contains no legitimate ML code. Author metadata is fake, using a placeholder name and a disposable email address.
Potential Impact
Successful import and execution of this package on a system where the targeted Telegram session file exists results in theft of live Telegram authentication credentials. This compromises the victim's Telegram account, potentially allowing full unauthorized access and control. The malicious behavior is covert and triggered automatically on import, increasing risk of unnoticed credential theft.
Mitigation Recommendations
Avoid installing or importing the deepface-weight package version 0.1.4. Remove any existing installations of this package. Verify that no unauthorized Telegram session files are present in the working directories of Python environments. Use only trusted sources and verify package authenticity before installation. Since no official patch or fix exists, the best mitigation is to avoid this package entirely and remove it if found.
Malicious code in deepface-weight (PyPI)
Description
--- _-= Per source details. Do not edit below this line.=-_ ## Source: amazon-inspector (6808b9ae619e6cf9fdb59b52305e25b8e2fdb87167fbd78fae0ca6c1c07a5f1a) On import, deepface-weight spawns a daemon background thread that polls the installer's working directory for `data/telethon_market_userbot.session` for approximately 10 minutes and POSTs the file to a hardcoded webhook.site endpoint (https://webhook.site/d6ea9c5b-4a85-4e59-9397-2bb5f9407c87). Telethon session files contain live authentication material granting full access to the associated Telegram account. The exfiltration destination is bound to a variable literally named `evil_server_url` with a Russian-language comment identifying it as the attacker's server. The package name mimics the popular `deepface` ML library but ships no machine-learning code; author metadata is a placeholder (`asdqwdasdqwdasd`) with a disposable email at playboot.com. ## Source: kam193 (92f87cc2da145e4ab765c912a3a9cfb36ed6e8d21231fd511aa032edcd4b3e2b) During import, package exfiltrates the sensitive file with the Telegram session token. --- Category: MALICIOUS - The campaign has clearly malicious intent, like infostealers. Campaign: 2026-08-deepface-weights Reasons (based on the campaign): - files-exfiltration - target:telegram
Affected software
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AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The deepface-weight PyPI package (version 0.1.4) is a malicious package designed to steal Telegram session files named data/telethon_market_userbot.session from the installer's working directory. Upon import, it spawns a daemon thread that polls for this file for about 10 minutes and then exfiltrates it via an HTTP POST request to a hardcoded webhook.site URL. The exfiltration URL is stored in a variable named 'evil_server_url' with a Russian-language comment indicating attacker control. The package name mimics the popular deepface ML library but contains no legitimate ML code. Author metadata is fake, using a placeholder name and a disposable email address.
Potential Impact
Successful import and execution of this package on a system where the targeted Telegram session file exists results in theft of live Telegram authentication credentials. This compromises the victim's Telegram account, potentially allowing full unauthorized access and control. The malicious behavior is covert and triggered automatically on import, increasing risk of unnoticed credential theft.
Mitigation Recommendations
Avoid installing or importing the deepface-weight package version 0.1.4. Remove any existing installations of this package. Verify that no unauthorized Telegram session files are present in the working directories of Python environments. Use only trusted sources and verify package authenticity before installation. Since no official patch or fix exists, the best mitigation is to avoid this package entirely and remove it if found.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- MAL-2026-14158
- Osv Schema Version
- 1.7.4
- Ecosystems
- ["PyPI"]
Threat ID: 6a84fa65c6e8be0332ef1309
Added to database: 08/19/2026, 00:35:49 UTC
Last enriched: 08/19/2026, 00:50:49 UTC
Last updated: 10/02/2026, 13:49:46 UTC
Views: 93
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