safety — before you run anything

cyberstalking cases often sit inside domestic violence, workplace retaliation, or post-breakup escalation. if you are supporting someone being targeted, start with safety planning and advocate intake — then return here for technical proof on synthetic reference data only.

• US suicide & crisis lifeline: 988
• US national DV hotline: 1-800-799-7233
• victim safety comes before attribution — preserve evidence only when the survivor agrees and an advocate says it is safe.
• preserve without confronting. exporting AI chat logs, screenshotting posts, or requesting platform data can notify the stalker via login alerts or shared accounts.
• work on workstations and accounts the stalker does not control — if the victim must keep a compromised Google or iCloud login, assume timeline edits and login history are visible to the abuser.

what this proves

• all eight cyberstalking primary engines produce deterministic, fixture-locked output — verified by npm run check:flagship (280/280 fleet · 8 for this scenario).
• every output is generated 100% locally in your browser — chat exports, forum CSVs, and location artifacts never upload.
• shared burner email across ChatGPT and Claude exports, entity clusters, authorship match on forum posts, iOS Routined gym routine, google timeline edits, and lookalike domains like m1crosoft-login.tk surface without sending evidence to a server.

primary engines locked to this fixture

• ai-chatbot-multi-account-correlation-analyzer
• multi-source-entity-resolver
• investigation-knowledge-graph
• osint-normalizer
• writing-sample-authorship-comparator
• ios-significant-locations-forensic-extractor
• android-google-timeline-artifact-forensic-extractor
• domain-reputation-check

build the case binder

runs all eight primary engines on the synthetic evidence zip and opens a self-contained html binder. uses the default binder renderer for cyberstalking — no upload.

download the synthetic evidence

MIT-licensed, fully synthetic. includes ChatGPT and Claude harassment exports, reddit and forum CSVs, OSINT scrape, writing samples, stalker activity log, iOS Cache.sqlite, google timeline semantic json + edits export, and lookalike domain list.

built deterministically from scripts/fixtures/build-ellis-cyberstalking.mjs. seed: ellis-cyberstalking:v1.

methodology

cyberstalking is multi-platform — export AI chat logs first for the shared burner email, then walk entity resolver → knowledge graph → OSINT normalizer → authorship match → iOS significant locations → google timeline edits → domain reputation for lookalikes. read the full cyberstalking guide →

after the playbook

run each primary locally — or export findings from the binder — then drop every csv/json into fatcousin-multi-tool-super-timeline-correlator. one timestamp-sorted timeline across AI chat exports, entity graph pivots, OSINT scrapes, location edits, and lookalike domain hits — still zero upload.