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🛡️ MAL-2025-192958 — smtmlib

⚪ Unknown ✅ No Known Exploit OSV
N/A
CVSS Score
0 Low4 Medium7 High9 Critical10

Description

Malicious code in smtmlib (PyPI)

Source: kam193

Malicious copy of a standard library module that during class initialization downloads and executes remote code and after that attempts to cover its tracks by overwriting itself with non-malicious code. The remote code aims to collect and exfiltrate sensitive Telegram session files.

This campaign shares infrastructure and basic methods with previous 2025-11-uzip campaign.

Category: MALICIOUS - The campaign has clearly malicious intent, like infostealers.

Campaign: 2025-12-smtblib

Reasons (based on the campaign):

  • Downloads and executes a remote malicious script.
  • infostealer
  • target:telegram
  • exfiltration-credentials
  • action-hidden-in-lib-usage
  • covering-tracks
  • clones-real-package
  • typosquatting

Affected software

MAL-2025-192958 is recorded against 1 package.

  • smtmlib

Timeline and source

Published on 29 December 2025 and last revised on 26 February 2026. No public exploit is currently recorded for this entry. Record sourced from OSV.

Indicators of compromise

IP addresses: 87.120.107.132
URLs: http://87.120.107.132:3301/reactor http://87.120.107.132:1488/drill http://87.120.107.132:1488/drip http://87.120.107.132:1488/key

References

bad-packages.kam193.eu (Web)
www.getsafety.com (Web)

Details

Severity Unknown
CVSS Score N/A
CVSS Vector N/A
CWE N/A
Public Exploit ✅ No
Source OSV
Published 2025-12-29
Updated 2026-08-20
Modified 2026-02-26
Fix URL N/A

Affected Packages

Software From version Fixed in
smtmlib — —

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ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the vulnerabilities listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.

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