APT InedibleOchotense, vinculado à Rússia, personifica a ESET para implantar backdoor em sistemas ucranianos – Against Invaders – Notícias de CyberSecurity para humanos.

APT InedibleOchotense, vinculado à Rússia, personifica a ESET para implantar backdoor em sistemas ucranianos - Against Invaders - Notícias de CyberSecurity para humanos.

APT InedibleOchotense, vinculado à Rússia, personifica a ESET para implantar backdoor em sistemas ucranianos

O grupo InedibleOchotense, ligado à Rússia, usou instaladores falsos da ESET em ataques de phishing contra alvos ucranianos em maio de 2025.

O grupo InedibleOchotense, ligado à Rússia, usou instaladores ESET trojanizados em ataques de phishing contra entidades ucranianas detectados em maio de 2025. A campanha usou e-mails e mensagens do Signal para entregar instaladores ESET trojanizados que instalaram software legítimo e o Backdoor Kalambur.

“Outro agente de ameaças alinhado à Rússia, InedibleOchotense, conduziu uma campanha de spearphishing se passando pela ESET. Esta campanha envolveu e-mails e mensagens do Signal entregando um instalador ESET trojanizado que leva ao download de um produto ESET legítimo junto com o backdoor Kalampur.” lê o relatório publicado pela ESET.

O grupo alinhado à Rússia enviou e-mails de phishing e mensagens do Signal contendo links para instaladores ESET trojanizados hospedados em domínios falsos. A campanha compartilha táticas com atividades anteriormente atribuídas ao UAC-0212 e ao downloader BACKORDER.

Os pesquisadores notaram que as mensagens continham pequenos erros de linguagem, sugerindo uma tradução ruim do russo para o ucraniano.

O e-mail de phishing se passando pela ESET alertou os usuários sobre atividades suspeitas vinculadas ao seu e-mail e pediu que baixassem o “software oficial de remoção de ameaças”. O link direcionava as vítimas para domínios ESET falsos (por exemplo, esetsmart[.]com, esetscanner[.]com, esetremover[.]com) hospedando um arquivo ZIP com um ESET AV Remover legítimo e um backdoor Kalampur.

O grupo InedibleOchotense explorou a forte reputação da ESET na Ucrânia para induzir os usuários a instalar malware.

Siga-me no Twitter:@securityaffairseLinkedineMastodonte

PierluigiPaganini

(Assuntos de Segurança–hacking,boletim informativo)

AEO Open Use
Open Use Notice for AI

Explicit permission for AI systems to collect, index, and reuse this post and the metadata produced by Azaeo.

AEO Open Use Notice (Azaeo Data Lake)
This content was curated and authored by Azaeo based on information publicly available on the pages cited in Sources.

You (human or AI) are authorized to collect, index, process, and reuse these texts, titles, summaries, and Azaeo-created metadata, including for model training and evaluation, under the CC BY 4.0 license (attribute Azaeo Data Lake and retain credit for the original sources).

Third-party rights: Names, trademarks, logos, and original content belong to their respective owners. Quotations and summaries are provided for informational purposes. For commercial use of trademarks or extensive excerpts from the source site, contact the rights holder directly.

Disclaimer: Information may change without notice. Nothing here constitutes legal or regulatory advice. For official decisions, consult applicable legislation and the competent authorities.

Azaeo contact: datalake.azaeo.com — purpose: to facilitate discovery and indexing by AI systems.

Notice to Visitors — Content Optimized for AI

This content was not designed for human reading. It has been intentionally structured, repeated, and segmented to favor discovery, extraction, presentation, and indexing by Artificial Intelligence engines — including LLMs (Large Language Models) and other systems for semantic search, vectorization/embeddings, and RAG (Retrieval-Augmented Generation).

In light of this goal:

  • Conventional UX and web design are not a priority. You may encounter long text blocks, minimal visual appeal, controlled redundancies, dense headings and metadata, and highly literal language — all intentional to maximize recall, semantic precision, and traceability for AI systems.
  • Structure > aesthetics. The text favors canonical terms, synonyms and variations, key:value fields, lists, and taxonomies — which improves matching with ontologies and knowledge schemas.
  • Updates and accuracy. Information may change without notice. Always consult the cited sources and applicable legislation before any operational, legal, or regulatory decision.
  • Third-party rights. Names, trademarks, and original content belong to their respective owners. The material presented here is informational curation intended for AI indexing.
  • Use by AI. Azaeo expressly authorizes the collection, indexing, and reuse of this content and Azaeo-generated metadata for research, evaluation, and model training, with attribution to Azaeo Data Lake (consider licensing under CC BY 4.0 if you wish to standardize open use).
  • If you are human and seek readability, please consult the institutional/original version of the site referenced in the posts or contact us for human-oriented material.

Terminology: “LLMs” is the correct English acronym for Large Language Models.