NITDA Issues Urgent Warning on AI Malware DeepLoad Targeting Nigeria

NITDA Issues Urgent Warning on AI Malware DeepLoad Targeting Nigeria

First seen 7 May 2026, 11:13 UTC AllafricaThecondiaArise.TvChannelstvPunchng+1 94% similarity 69.9

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The National Information Technology Development Agency (NITDA) has issued a critical alert regarding a new AI-powered malware named DeepLoad, which is actively targeting Nigerian government agencies, financial institutions, businesses, and individuals. The malware employs social engineering tactics, specifically fake website error messages, to trick users into executing malicious commands. Once activated, DeepLoad installs itself silently and begins harvesting sensitive data, including passwords and financial information, while evading traditional antivirus detection. Notably, it features a hidden persistence mechanism that can reactivate the infection up to three days after removal attempts. NITDA has emphasized the urgency of implementing protective measures to mitigate the risk of identity theft and operational disruptions. The agency's advisory highlights the malware's potential to compromise classified data and national security infrastructure. Immediate action is advised for all affected entities to prevent successful infections.

Key Points: • DeepLoad malware targets Nigerian government agencies, banks, and individuals. • It spreads through social engineering, tricking users with fake website error messages. • The malware can reactivate itself days after removal, posing a significant risk.

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Timeline

2026-05-06
NITDA issues advisory on DeepLoad malware
NITDA released a critical advisory warning about DeepLoad, detailing its capabilities and risks to Nigerian entities.
Punchng
2026-05-07
DeepLoad malware identified as a significant threat
NITDA confirmed that DeepLoad is actively targeting various sectors in Nigeria, urging immediate protective measures.
Arise.Tv
2026-05-07
NITDA warns of potential operational disruptions
The agency highlighted that infections could lead to major operational disruptions and identity theft.
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