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A
Ayush Yadav
OSINT • Fraud Investigation

Hello.
I'm Ayush.

I’m building an investigation-focused portfolio around open-source intelligence, financial fraud review, and India-focused verification research.

MBA in Forensic Accounting and Fraud Investigation at NFSU. Interested in roles involving fraud analysis, due diligence, cyber investigation support, and structured intelligence reporting.

Projects

identity-theft-case-study.html

Identity Theft in Business Environments

Research on how identity misuse affects businesses through document manipulation, impersonation, account misuse, and weak verification controls. The project maps common red flags and prevention touchpoints.

Research Project
cyber-investigation-case-study.html

Cyber Investigation Case Study

A practical OSINT exercise focused on tracing public signals, cross-checking digital indicators, and structuring fragmented online information into a usable case narrative.

OSINT Workflow
public-source-verification.html

Public Source Verification Workflow

A repeatable process for checking names, addresses, transport context, legal references, business records, and online mentions through Indian public and semi-public sources.

Verification System
media-registry-cross-check.html

Media and Registry Cross-Check

Comparative work using official portals, court references, and news archives to reduce false positives and improve confidence before deeper fraud review or escalation.

Cross-Reference Study

From the research desk

fraud-red-flags-notes.pdf

Fraud Red Flags I Track

Focus areas include identity inconsistency, entity mismatch, timeline gaps, fabricated online presence, suspicious registrations, and patterns that suggest controlled narratives or paper trails.

Working Notes
india-osint-sources.pdf

India-Centric OSINT Sources

A grouped source map covering courts, transport, maps, telecom checks, government portals, and media archives useful during verification and investigative background work.

Source Map

About

I’m a forensic accounting and fraud investigation student developing practical depth in OSINT collection, source validation, entity profiling, and reporting. My interests sit at the intersection of cyber-enabled fraud, economic offences, and evidence-backed intelligence work.

Exposure to CID - Economic Offences Wing helped me connect academic theory with investigative thinking around verification, document review, and public-source intelligence support.

OSINT Investigation Fraud Detection Entity Verification Financial Review Cybercrime Research Report Writing Background Checks Source Validation

What I Can Contribute

Support with due diligence, source-based profile building, red-flag review, and investigative documentation for early-stage fraud checks or intelligence-led assessments.

Comfortable organizing raw information into structured findings so teams can move faster from scattered inputs to actionable leads.

Investigation Dashboard

A private dashboard of India-focused tools and references for search, maps, transport context, legal sources, business checks, phone intelligence, and news monitoring.

Contact

Email: yadavayush9211@gmail.com

Phone: +91 9125314228

Location: India

Current Direction

Looking for opportunities in fraud investigation, OSINT analysis, risk intelligence, due diligence, and investigation support where structured open-source research adds operational value.

OSINT Mini Games

Lead or Noise?

Choose the best next step like an investigator. Each scenario gives one strong move and several distractions.

A LinkedIn profile, an old company PDF, and a GST listing all show slightly different spellings of the same director name. What should you do first?
Pick an option to test your OSINT decision-making.
Score: 0

Fraud Signal Match

Read the mini case and decide the risk level. This section works like a quick forensic review drill.

A vendor was onboarded quickly, uses a residential address, and submitted invoices just below approval thresholds for three months.
Assess the pattern and choose the risk level.
Score: 0

Daily Forensic Accounting

This section explains the kind of work a forensic accounting mindset applies every day: testing transaction patterns, checking documentation quality, comparing narratives with records, and spotting red flags before they become losses.

Review unusual payment timing, duplicate amounts, or threshold-based invoice splitting.
Compare vendor names, registration details, bank accounts, and addresses for mismatches.
Check whether approvals, supporting documents, and transaction narratives actually align.
Track repeat exceptions, manual overrides, and round-number entries.
Document findings clearly so an investigator, auditor, or manager can act quickly.
Daily Focus Pattern recognition, source validation, and evidence-backed reporting are the three habits that make forensic reviews stronger over time.

Common Red Flags

These are practical indicators worth checking every day in fraud review or financial verification work.

Invoices raised near approval limits
Shared contact details across unrelated vendors
Backdated documents or metadata inconsistencies
Rapid vendor creation followed by immediate payments
Lifestyle or asset signals inconsistent with declared income
Narratives that change across records, email, and declarations
Working Rule Never depend on one source. A forensic conclusion gets stronger when documents, public records, financial behavior, and timeline logic all support the same story.

Surprise Me

Enter a few details and generate a stylized intelligence-style profile card at the bottom. This can be used as a fun portfolio extra, a quick identity card, or a themed profile output.

The output updates instantly below and keeps the same retro printed style as the rest of the site.

Profile Output
AY
Issue No. 26032026

Ayush Yadav

AliasOSINT Researcher
LocationIndia
Focus AreaFraud Investigation
PriorityModerate
StatusActive Review
TypeAnalyst Profile

A structured profile card for portfolio visitors, useful for highlighting a person, capability, project persona, or case concept in a more visual format.

Current Readout

TRACKING SIGNALS

Open-source patterns, intent cues, and role details are being organized into a clean, stylized summary.

Signal Meter

3 / 5 active markers

Secure Dashboard Access

Enter the dashboard password to open the private toolset.