[Перевод] Как приглашение на вакансию мечты превращается в атаку

Начиналось всё с уведомления, радостного для каждого разработчика: «Вы попали в шорт-лист на вакансию разработчика ИИ». Компания кажется потрясающей — DLMind , «лаборатория инноваций ИИ». Рекрутер выглядит вполне правдоподобным — Tim Morenc, CEDS , с качественным профилем на LinkedIn, профессиональными интонациями в переписке и историей взаимных связей. Но за этим дружелюбным сообщением стоит BeaverTail — кампания, направленная на похищение вашего кода и учётных данных.

habr.com/ru/companies/ruvds/ar

#кража_паролей #эксплойты #malware #безопасность #кибербезопасность #ruvds_переводы

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@habr25 [Translation] How a “dream job invitation” turns into an attack

It all starts with a notification that feels familiar and exciting for any developer: “You’ve been shortlisted for an AI developer position.” The company looks impressive — DLMind, an “AI innovation lab.” The recruiter appears legitimate — Tim Morenc, CEDS, with a polished LinkedIn profile, professional communication style, and mutual connections.

But behind this friendly outreach is BeaverTail — a malicious operation designed to steal your code, credentials, and developer assets.

The attack is part of a broader pattern associated with North Korean cyber operations, including groups such as Lazarus Group.

How the attack works

The victim is approached via LinkedIn or similar platforms

A convincing fake company and recruiter profile is used

A “technical assignment” or test task is provided

The task contains malicious code or a compromised dependency

Once executed, it extracts sensitive data such as:

GitHub / Git credentials

SSH keys

API tokens

browser session data

Why it works

The campaign relies on social engineering rather than technical exploitation:

trust in recruitment processes

desire for career opportunities

familiarity of developer workflows (GitHub, npm, Python, etc.)

Key takeaway

Any unsolicited “test assignment” should be treated as potentially hostile code. Execution environments must be isolated, and credentials should never be exposed in evaluation setups.

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