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The Tek Fog app was used by political operatives in India to manipulate social media platforms, hijack trending topics, and conduct targeted harassment campaigns against journalists and private citizens. The app utilized automation to bypass platform security, phish data from inactive WhatsApp accounts, and disseminate hate speech at scale. The investigation highlights the use of sophisticated digital tools to subvert democratic processes and silence dissent.
The Indian political social media app Tek Fog allegedly allowed operatives affiliated with the ruling political party to hijack social media trends and manipulate public opinion on other apps such as Twitter and WhatsApp, which opposition parties denounced as a national security threat.
Domain classification, causal taxonomy, severity scores, and national security assessments were LLM-classified and may contain errors.
Using AI systems to conduct large-scale disinformation campaigns, malicious surveillance, or targeted and sophisticated automated censorship and propaganda, with the aim of manipulating political processes, public opinion, and behavior.
Also classified as
The system generated and disseminated millions of highly abusive, sexist, and hateful replies across social media platforms.
The app targeted specific female journalists for coordinated harassment, abuse, and personal data phishing to silence their reporting.
The Tek Fog app was systematically used to conduct large-scale political disinformation campaigns, manipulate public opinion, and hijack social media trends to influence democratic processes.
Human
Due to a decision or action made by humans
Intentional
Due to an expected outcome from pursuing a goal
Post-deployment
Occurring after the AI model has been trained and deployed
The incident was driven by human political operatives who intentionally deployed and utilized the Tek Fog app to manipulate public opinion and target critics.
Added categories peak at 4: Severe (Epistemic Harm, Inferred)
The Tek Fog incident represents a highly sophisticated, domestic, AI-enabled information warfare campaign in India. By automating harassment, hijacking trends, and bypassing platform security, the tool undermined democratic norms, targeted civil society, and demonstrated how consumer-grade automation can be weaponized for political psychological operations.
The Tek Fog app is described as a browser-based application that performs specific automated functions like auto-replying, auto-retweeting, and bypassing security protocols based on direct inputs from human operatives.
Unacceptable Risk: The report describes an AI system used for subliminal manipulation, behavioral influence, and coordinated psychological operations at scale, which poses significant dangers to society and violates fundamental rights.
The system's primary function was to generate automated social media posts, replies, and trends to manipulate public narrative and harass individuals.
The investigative reports provide extensive forensic and technical analysis, including server tracking and script verification. However, the accused political party and private corporations issued strong denials, and direct access to the app's source code was not available, introducing some conflicting accounts.
The app could be interpreted as a collection of standard automation scripts and APIs rather than a unified advanced AI system, though its scale and impact align with AI-driven risk.
Direct access to the Tek Fog source code, independent audits of the servers, and official platform investigation reports from Meta and Twitter.
Technology
Vulnerable Platform APIs
Social media APIs allowed external apps to bypass security controls.
Automated Bot Networks
Bots were used to scale up harassment and manipulate trending topics.
Lack of Robust CAPTCHA Controls
The app bypassed reCAPTCHA and OTP verification to automate actions.
Data Inputs
Unsecured Inactive Accounts
Inactive WhatsApp accounts were hijacked using token theft techniques.
Granular Citizen Databases
Data on religion, gender, and profession was used for targeted abuse.
Google Sheets Integration
Google Sheets provided automated inputs for derogatory auto-replies.
Human Factors
Operative Compliance
Paid operatives manually directed harassment and executed tasks.
Targeting of Female Journalists
Human bias and malice led to systematic targeting of female critics.
User Trust Exploitation
Operatives exploited contacts of hijacked accounts to spread spam.
Process and Methods
Inadequate API Auditing
Social media platforms failed to audit external API usage effectively.
Lack of Content Moderation
Platforms failed to detect and block hate speech in regional languages.
Deficient Account Verification
Weak verification allowed the creation and integration of bot accounts.
Management
Prioritizing Growth Over Security
Platforms prioritized user engagement over securing APIs against abuse.
Political IT Cell Supervision
Management directed operatives to use Tek Fog for narrative manipulation.
Private Corporate Complicity
Private tech firms developed and supported the malicious app infrastructure.
Regulatory Environment
Weak Digital Privacy Laws
Absence of strict laws allowed unauthorized citizen databases to exist.
Lack of Platform Accountability
No regulatory pressure on platforms to secure APIs and block bots.
Inadequate Election Oversight
Regulators failed to monitor digital manipulation in political campaigns.
AI system involved
Identified by automated extraction; can differ from the alleged developers above.
