When deepfakes destroy lives, proof matters
Detect manipulated media, pinpoint tampering, and generate forensic proof for cybercrime action — in minutes.
Everything you need to fight deepfake abuse
From verification to forensic proof and cybercrime reporting — Sniffer handles every step.
Media Authenticity Verification
Detect whether an image or video has been manipulated using cryptographic and forensic checks — not probabilistic guesses.
Tamper Localization
Pinpoint exactly where an image was altered — faces, regions, or injected elements — with visual forensic overlays.
Forensic Severity Scoring
Automatically classify incidents based on identity misuse, sexual exploitation risk, and manipulation intensity.
Metadata & Device Intelligence
Extract EXIF data, timestamps, device fingerprints, and editing traces to strengthen forensic context.
Cybercrime Report Generator
Generate court-ready forensic reports with tamper visuals and submit them directly to cybercrime authorities.
From upload to forensic proof
A deterministic pipeline built for evidence, accountability, and real-world action
Media Intake
Suspected images or videos are securely uploaded for forensic verification.
Cryptographic Proof
Deterministic hashing establishes originality and detects post-creation tampering.
Tamper Localization
Manipulated regions are precisely identified and visually highlighted.
Forensic Reporting
A structured, verifiable report is generated for takedown or legal escalation.
Deterministic Forensic Verification
Sniffer does not rely on probabilistic visual cues alone. Instead, it establishes deterministic proof of media authenticity using cryptographic verification and precise tamper localization.
Each verification produces a structured forensic record that can support platform takedowns, legal proceedings, and cybercrime investigations — without storing or exposing sensitive content.
Deterministic
No guesswork
Secure
No storage
Scalable
Institutional ready
Verifiable
Court admissible
Designed to integrate with institutional workflows, law enforcement reporting, and victim support pipelines.
Impact that extends beyond detection
Sniffer shortens victim response time, strengthens legal action, and restores trust in digital evidence.
Victim-Centric Protection
Sniffer empowers victims of non-consensual deepfake abuse by drastically reducing the time and effort required to prove media manipulation. Visual tamper localization and forensic reports help limit prolonged exposure, harassment, and repeated circulation of harmful content.
Legal & Investigative Support
By providing deterministic cryptographic verification instead of probabilistic AI predictions, Sniffer generates evidence suitable for cybercrime complaints, internal investigations, and legal proceedings. This bridges the technical gap between victims and enforcement agencies.
Platform & Ecosystem Integrity
Sniffer assists digital platforms in validating abuse claims with structured forensic data, reducing false reports while enabling faster takedown decisions. This supports fair moderation without over-censorship.
Societal & Policy-Level Impact
As generative media becomes more accessible, Sniffer establishes accountability by discouraging malicious use and restoring trust in digital authenticity. Its adoption encourages responsible AI deployment at a societal and regulatory level.
Why Sniffer Exists. And why it matters.
Sniffer began as a college project and evolved into a forensic response to a growing problem — where deepfake harm spreads faster than clarity, evidence, or action.
Zaid Rakhange
Founder & Lead Developer
Building forensic clarity in an age of synthetic media
While studying the rapid rise of deepfake misuse, it became clear that detection alone was not enough. Victims often lacked guidance, investigators struggled with verification, and digital evidence frequently lost credibility before any action could begin.
Sniffer was built to bridge this gap — combining AI-assisted analysis with forensic-style reporting, evidence integrity, and a victim-first workflow. The system is being developed and validated within a controlled institutional environment to ensure responsibility before scale.
Frequently Asked Questions
Before you panic, get informed.
Sniffer’s resources explain how deepfakes work, what to do if you’re targeted, what not to do, and how digital evidence can be protected before it’s lost.
Explore resources