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StealC V2 weaponized Blender asset delivery

Malware Activity
First reported
Last updated
Happening score
H score 33
2 unique sources, 2 articles

Summary

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The StealC V2 malware is being spread through manipulated Blender .blend files, creating a new delivery path that can compromise users who open routine 3D assets. If Auto Run is enabled, hidden Python code starts a multistage infection that can install persistence and pull more payloads. The activity has been observed for at least six months and uses Pyramid C2 for encrypted payload retrieval, increasing the chance of successful credential theft and foothold retention.

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Blender malicious .blend file campaign delivering StealC V2

Campaign
First: 25.11.2025 13:28 Last: 25.11.2025 13:28 Sources 1

How related: "This ongoing operation, active for at least six months, involves implanting malicious .blend files on platforms like CGTrader,"

About this happening: A **six-month** malicious-file campaign is abusing **Blender .blend files** on **CGTrader** to execute embedded scripts and deliver **StealC V2**, putting 3D asset downloaders at...

Russian-linked StealC V2 Blender marketplace delivery campaign

Campaign
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How related: A Russian-linked campaign delivers the StealC V2 information stealer malware through malicious Blender files uploaded to 3D model marketplaces like CGTrader.

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Malware Activity
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Timeline

  1. 24.11.2025 16:00 2 articles · 6mo ago

    Morphisec discloses StealC V2 hidden in Blender .blend files

    Initial Disclosure

    Morphisec said Russian-speaking threat actors were distributing StealC V2 through manipulated Blender .blend files on CGTrader and similar platforms, with victims opening routine 3D assets in Blender’s Auto Run feature enabling concealed Python scripts to launch a multistage infection. The chain began with a tampered Rig_Ui.py script, fetched a loader from workers.dev, downloaded PowerShell and ZIP payloads, created LNK files for persistence, and used Pyramid C2 channels to retrieve encrypted payloads; Morphisec also said its deception-based controls stopped the credential theft before exfiltration or persistence could occur.

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