Pakistani Man Exploited 31 Hacked X Accounts to Spread AI-Generated Misinformation About Iran-US War

As tensions escalate between the United States, Israel, and Iran, social media platforms are fighting an uphill battle against a flood of artificial intelligence-generated misinformation about the ongoing conflict. The platform formerly known as Twitter, X, recently uncovered and dismantled a sophisticated network of accounts spreading fabricated war footage.

According to Nikita Bier, X’s head of product, the company identified a user in Pakistan operating 31 coordinated accounts that were disseminating AI-generated content depicting the conflict. “All were hacked and the usernames were changed on February 27 to ‘Iran War Monitor’ or some derivative,” Bier explained in a statement.

The platform swiftly removed these accounts as part of intensified efforts to detect and curb coordinated disinformation campaigns. Bier emphasized that X is improving both the speed at which it identifies misleading content and reducing incentives for users to spread such material.

This revelation came shortly after a deepfake video circulated widely showing an Iranian rocket striking a ship in Tel Aviv. The account posting the clip claimed to belong to a journalist from Gaza named Ahmed Hamdan, highlighting the growing challenge platforms face in verifying both user identities and content authenticity in real-time.

The surge in AI-driven misinformation comes amid heightened tensions across the Middle East, following exchanges of military strikes between the U.S., Israel, and Iran. Social media has been inundated with images and videos purporting to show damage across the region, but investigators and fact-checkers warn that much of this content is manipulated or entirely fabricated.

In one particularly notable case reported by the Financial Times, a satellite image circulated widely online, including by the Tehran Times’ X account, supposedly showing damage to a U.S. radar system in Qatar following an Iranian drone strike. Subsequent analysis revealed the image had been significantly altered using AI technology.

While genuine satellite imagery did confirm some damage in the region, the widely shared post was actually an AI-modified picture of a location in Bahrain. Despite being demonstrably false, the post attracted nearly one million views and remained online for more than two days before being removed.

This is not an isolated incident. During a previous 12-day Israel-Iran conflict in June 2025, numerous videos purporting to show Iranian military strength and alleged damage to Israeli infrastructure spread rapidly online, according to BBC reporting. Meanwhile, pro-Israel accounts shared misleading posts, including repurposed footage of old protests falsely framed as anti-Iran demonstrations.

The verification group GeoConfirmed has repeatedly flagged fake or mislabeled content during the current conflict. One viral post blaming a U.S.-Israel attack for a failed Iranian missile launch at a girls’ school in Minab was thoroughly debunked, but not before it had amassed more than 750,000 views.

Experts in digital forensics warn that generative AI tools have dramatically lowered the barriers to creating convincing fake content. Henk van Ess, a specialist in online research methods, noted that satellite imagery is particularly vulnerable to manipulation because most casual observers cannot distinguish authentic images from skillfully altered ones.

Brady Africk, an open-source intelligence researcher, expressed concern that AI-altered imagery could seriously mislead journalists and analysts tracking developments in conflict zones, potentially affecting real-world policy decisions and public opinion.

In response to these growing threats, X has strengthened its enforcement policies against AI-generated war content posted without proper disclosure. Users who fail to label AI content now face a 90-day ban from the platform’s Creator Revenue Sharing program, with repeat violations potentially resulting in permanent exclusion. The company has also expanded its “Community Notes” feature, enabling users to add contextual information and fact-check potentially misleading posts.

Government authorities are also taking action. In the United Arab Emirates, Dubai Police issued warnings to residents against sharing unverified images or rumors about security incidents, with violations potentially resulting in substantial fines of at least 200,000 dirhams (approximately $54,500).

As AI technology continues to evolve, the challenge of maintaining information integrity during international conflicts represents a growing concern for social media platforms, governments, and news consumers alike.