New Android malware “BankBot YNRK” can empty bank account in seconds – InfoSecBulletin

New Android malware “BankBot YNRK” can empty bank account in seconds – InfoSecBulletin

Cybersecurity experts have identified a new Android malware dubbed BankBot YNRK, which can take control of smartphones and quickly drain bank accounts. This threat is part of a growing trend of financial trojans targeting users in Asia and Europe.

The malware can mute notifications, take screenshots, read device content, and automate banking transfers unnoticed by the user. Researchers claim BankBot YNRK is more advanced than previous Android malware like Hydra, Octo, and Anatsa, posing greater financial theft risks.

BankBot YNRK spreads through fake Android apps that mimic trusted identity verification tools. Once installed, the malware:

Collects detailed device data (brand, model, installed apps)
Detects whether the phone is being analyzed in a security lab
Adjusts its behavior to specific screen resolutions and phone types

The malware pretends to be the Google News app, using a WebView to show a real news site while executing harmful activities in the background. It mutes audio and notifications to hide OTP alerts and security messages. Then, it deceives users into giving it Accessibility Services permissions, which enable system-level control. Once granted, the malware can scroll, tap, type, and authorize money transfers without being detected.

What It Can Steal:

Experts warn BankBot YNRK gives cybercriminals near-total access to the phone. Once connected to its command server, it begins:

Reading everything displayed on the screen
Extracting banking UI elements like buttons and text
Entering usernames and passwords
Stealing clipboard data (OTPs, account numbers, crypto keys)
Taking photos and screenshots
Redirecting verification calls using call forwarding
Opening financial apps in the background even when the screen is “off”

The trojan targets banking apps in India, Vietnam, Malaysia, and Indonesia, as well as global crypto wallets like MetaMask and Exodus. In crypto accounts, it acts as an automated bot, overriding biometric security and making withdrawals instantly. A single mistake in granting permissions can give the attacker complete access to your identity, funds, and digital life.

7 Ways to Stay Safe From Banking Malware:

Security professionals recommend users follow these safety steps:

Install reputable antivirus/security software- Strong mobile security can detect suspicious behavior instantly and block malicious apps before they activate.
Reduce your digital footprint- Removing personal information from public data-broker sites limits how scammers target users with personalized attacks.
Download apps only from trusted sources- Avoid installing APK files from unknown websites or forwarded messages — that is the most common malware entry point.
Keep your device updated- Security patches often fix vulnerabilities that attackers rely on.
Use a strong password manager- Generating unique passwords prevents attackers from using one breach to unlock multiple accounts. It also reduces clipboard use — a common data-theft target.
Enable two-factor authentication (2FA)- Even if credentials leak, 2FA slows attackers, especially when malware is not yet fully activated.
Review permissions and installed apps regularly- Immediately remove apps with Device Admin or Accessibility access that you don’t recognize.

Researcher at Cyfarma said, BankBot YNRK may be a turning point in Android cybercrime, combining stealth, automation, and deep system access to execute near-instant financial theft.

The strongest protection is user vigilance, particularly avoiding unknown APKs and denying suspicious permission requests. As Android banking grows in popularity, attackers are becoming more advanced. A single wrong click could give criminals the keys to your entire financial world.

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.