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What several exhibits of the same case have in common: the shared numbers, e-mail addresses, accounts, crypto wallets, IBANs, Wi-Fi networks, Bluetooth devices and sideloaded apps. It shows who talked to whom, who was where together, and the same malware on several phones.
- At least two cases (
device acquireorimport), one per exhibit. Give--sealor--case-idat acquisition: the output names each exhibit by them. - Communications are compared only if collected under
--mandate.
No phone, no network.
apex link ./scelle-1 ./scelle-2 ./scelle-3
apex link ./scelle-1 ./scelle-2 -o links.csv| Option | Effect |
|---|---|
<CASES>… |
two or more case directories |
-o, --output <FILE> |
also write kind,value,cases as CSV |
| Kind | From |
|---|---|
phone |
message and call peers, contacts, numbers found anywhere; matched on the last nine digits (+33 6…, 06…, 33…@s.whatsapp.net are the same) |
email |
addresses found anywhere |
account |
accounts on the phones (masked names are skipped) |
wallet, iban
|
Bitcoin / Ethereum addresses and IBANs found anywhere |
wifi |
saved Wi-Fi networks: two phones that know the same network were probably in the same place |
bluetooth |
paired devices (with the agent) |
sideloaded_app |
apps not installed from a store: the same rare app on two phones is a lead |
Only values found in at least two exhibits are listed. Two acquisitions of the same phone share everything; that is expected.
APEX · mlab-sh/apex · This wiki is generated from the repository's wiki/ folder: edit it there, not here.
Getting started
On the phone
From an extraction
Analysis
Reporting and procedure
Static analysis
Concepts