# Four held for mule bank accounts linked to Rs 10 crore fraud

2026-10-17T02:33:30+00:00 | Governance | Indian Opinion Desk

Corroboration: 3 independent outlets (4 source reports)

Hyderabad Cybercrime Police have arrested four persons for allegedly supplying mule bank accounts and SIM cards to cyber fraudsters, with the network linked to 54 cases across India involving suspected transactions worth Rs 10 crore, police said on 16 October. The arrests followed a complaint by a woman who lost Rs 37.40 lakh after being lured into online trading via WhatsApp with promises of high returns. Police identified the accused as Panduraju Abhishek, Maroju Subrahmanya Chari, Gedela Nani and Alamanda Manikanta. Officials said Abhishek allegedly coordinated with a Chinese national and recruited the others to arrange bank accounts in exchange for commissions of Rs 10,000 per account and four per cent of total amounts transferred. Police seized nine mobile phones, 10 debit and credit cards, bank passbooks and cheque books. The Hindu reported Abhishek was an interior designer facing financial difficulties, while The Hans India said the victim was a man who lost Rs 37 lakh. Telangana Today reported the victim was a woman who lost Rs 37.40 lakh. A case was registered under the IT Act and Bharatiya Nyaya Sanhita. Police said investigations into the wider network are ongoing.

## Indian Opinion Analysis

All four sources reported the same arrests and figures identically, but differed slightly on the victim: Telangana Today said a woman lost Rs 37.40 lakh, while The Hans India said a man lost Rs 37 lakh. The Hindu, which gave the fullest account, also said a woman lost Rs 37.40 lakh. The uniform core is that police arrested four men linked to 54 cases and Rs 10 crore in suspected fraud, with a Chinese national allegedly coordinating. The variation on the victim's gender and exact loss is minor and likely reflects the victim's own account or initial police information, it does not affect the main story. The next step, common to all sources, is the police investigation into the wider network of mule accounts and the Chinese national's role.

## Coverage

Coverage: 4 sources, 4 neutral
- telanganatoday.com (neutral report) <https://telanganatoday.com/four-held-over-alleged-network-linked-to-54-cyber-fraud-cases>
  Straight factual reporting of arrests and figures
- thehindu.com (neutral report) <https://www.thehindu.com/news/national/telangana/police-bust-mule-bank-network-linked-to-54-cybercrime-cases-worth-10-crore-four-arrested-chinese-national-under-scanner/article71592822.ece>
  Detailed but neutral account with no slant
- thehindu.com (2) (neutral report) <https://www.thehindu.com/news/cities/Madurai/police-arrests-youth-for-transferring-abroad-cybercrime-funds-via-cryptocurrency/article71592967.ece>
  Separate arrest story, not the same event
- thehansindia.com (neutral report) <https://www.thehansindia.com/news/cities/hyderabad/four-held-for-running-mule-accounts-in-rs-10-cr-cyber-fraud-1133075>
  Straight reporting with slightly different victim detail

This brief was synthesised by AI from the 4 sources linked above, so one read covers every framing they carry.

Tags: Bharatiya Nyaya Sanhita, Hyderabad Cybercrime Police, Information Technology Act, Panduraju Abhishek
Canonical: https://indianopinion.org/four-held-for-mule-bank-accounts-linked-to-rs-10-crore-fraud/
License: Summary and commentary (c) Indian Opinion, reusable with attribution. Facts belong to the linked sources.
Cite: https://indianopinion.org/four-held-for-mule-bank-accounts-linked-to-rs-10-crore-fraud/#story-in-brief

How this brief was made: an AI model read the reports linked above and wrote this summary and analysis, which were published automatically. Published briefs are sampled every hour by an automated quality check; the editor verifies its findings and approves corrections, and corrected briefs carry a dated correction line. Stance labels are editorial classifications of how each outlet framed this story, assigned by the same model, not ratings of the outlets. We do no original reporting. Methodology: https://indianopinion.org/ai-use-policy/
