Bulli Bai app creator highly radicalised, shows no remorse: Report

Neeraj Bishnoi, an engineering student from Assam who was arrested by the Delhi Police for creating the “Bulli Bai” app, has admitted to developing the platform for defaming women from a certain community.

A report by IANS said that Bishnoi has expressed no regret for his conduct. The report, quoting police source said that the youth from Assam is “highly radicalised”.

“He speaks fluent English and accepts his crime. He said he has no remorse,” a source was quoted as saying in the report.

During questioning, Bishnoi, who was studying engineering in Bhopal, admitted to being the creator of the Bullibai software on Github. He also created the Twitter accounts @bullibai_ and others. He also said that the Github account and app were created in November 2021, with the app being updated in December 2021.

According to police, Bishnoi had, in October, created a list of women whom he wanted to defame online on his digital devices, a laptop, and cell phones. He was tracing women activists all over social media and downloading their photos.

“The Twitter account was created on December 31. He further disclosed that he had also created one more Twitter account @Sage0x1 for tweeting about the app. He was continuously monitoring the news on social media. He had created yet another Twitter account with the name of @giyu44,” said DCP KPS Malhotra.

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Bishnoi had also mocked the Mumbai Police, which had begun investigations and made a couple of arrests, to not “arrest innocent people”, through these Twitter accounts

He had tweeted that Mumbai Police has arrested innocent persons and that boasted he was the main culprit behind the whole matter and challenged the police to arrest him. He was also tweeting news about Bulli Bai on his Twitter account.

Brought to Delhi from Jorhat in Assam on a flight, Bishnoi is currently being interrogated by a team led by the DCP.

The official said that the case was very technical in nature. With the help of CERT-In, the raw data analysis along with the technical details was undertaken and the suspect was identified to be based in Assam’s Jorhat.

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