8 months ago
Three Burglars Arrested for Stealing Jeans Cloth in Delhi
Three men were caught for stealing a lot of jeans cloth from a shop in Delhi.
The shop owner reported the theft on December 24.
Police found a car used to take the stolen clothes and caught one man named Naresh.
He told police about his friends who helped him.
Police then caught another man named Haneef.
They found some of the stolen clothes worth Rs 7 lakh.
The police are still looking for the other men and more stolen clothes.
All the men caught have done bad things like this before.
Three men were arrested for stealing 22 bundles of jeans cloth worth lakhs from a shop in Delhi.
Police used CCTV footage to track a vehicle involved in transporting the stolen goods.
Naresh (45) was the first to be arrested and confessed, leading to the arrest of Haneef (41).
10 bundles of jeans cloth worth Rs 7 lakh were recovered from Khayala Industrial Area.
The accused are habitual offenders with prior records of burglary and theft.
- Who
- Three accused: Naresh (45), Haneef (41), and two others named Iqbal and Ashraf
- What
- Theft of 22 bundles of jeans cloth worth lakhs from a shop in Delhi
- Where
- New Rohtak Road, Sarai Rohilla area, Delhi
- When
- Theft occurred on December 24; arrests made on December 28 and 30
- Why
- To steal jeans cloth worth lakhs from a shop
Key facts
- Number of Accused Arrested
- 3
- Stolen Items
- 22 bundles of jeans cloth
- Recovered Items
- 10 bundles of jeans cloth
- Value of Recovered Cloth
- Rs 7 lakh
- Location of Theft
- New Rohtak Road, Sarai Rohilla, Delhi
- Date of Theft
- December 24
- Accused Names
- Naresh (45), Haneef (41), Iqbal, Ashraf
- Status of Investigation
- Ongoing
Quotes
Senior police officer
A senior police officer involved in the investigation
“Naresh revealed that the stolen cloth rolls were relocated to a godown in Seelampur, from where part of the consignment was sold to Umar Khan. Khan was later traced and questioned, and based on his disclosure, police recovered 10 rolls of jeans cloth from Khayala Industrial Area”
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“CCTV footage from areas around the crime scene was analysed, which led to the identification of a vehicle used to transport the stolen goods”
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