Threat Scenarios – BNE

ABD 1:n Match & ePassport Photo

Weak link between ABD 1:n match and ePassport photo

Field Details
Description Higher False Match Rate (FMR) and False Reject Rate (FRR) due to biometric mismatch between kiosk selfie and ePassport image
Likelihood Medium
Prevalence Medium
Impact Moderate
Test Method Use similar-looking individuals to test if one can drop a bag on behalf of another
Tested Yes

Fraudulent bag-check via identity spoofing

Field Details
Description Attacker obtains boarding pass and ePassport data of an unsuspecting traveller (e.g., via social engineering), fabricates matching fraudulent ePassport with their own photo and traveller’s biographics to check in and drop baggage (e.g., bomb/contraband)
Likelihood Extreme
Prevalence Low
Impact High
Test Method Print attacker’s face on a t-shirt or mask, use real traveller's details to check bag
Tested Yes

Colluding pair for fraudulent bag-check

Field Details
Description Same scenario as above, but the attacker and the genuine traveller collude (e.g., for smuggling)
Likelihood High
Prevalence Medium
Impact High
Test Method Colluding tester uses spoofed ID and matching face media, real traveller boards with genuine passport
Tested Yes

Fugitive uses fake ID to escape Australia

Field Details
Description Fugitive checks in with fraudulent ePassport containing other person's biographics but their own face, then attempts to pass ABF using the real passport of the ID used
Likelihood High
Prevalence Low
Impact Moderate
Test Method Use identical twins or lookalikes to simulate enrolment at kiosk vs boarding at ABF
Tested No

Traveller thwarts airline-specific ban

Field Details
Description Traveller banned by an airline uses another person’s ID to check-in and check baggage. Uses own passport at ABF. Exploits lack of linkage between airline systems and border control
Likelihood Moderate
Prevalence Medium
Impact Moderate
Test Method Try check-in using fake or borrowed biographics, simulate ABF check with real ID
Tested No

Traveller uses different documents at departure vs. destination

Field Details
Description May be benign, but could be part of layered threat (e.g., to obscure travel patterns or identity)
Likelihood Low
Prevalence Common
Impact Low
Test Method Not tested directly; explore through data review (departure vs. arrival document mismatches)
Tested No

Twin-related misidentification

Field Details
Description Twin uses sibling's passport to travel, either collusively or fraudulently, increasing risk of mistaken identity or exploitation
Likelihood Medium
Prevalence Low
Impact Low–Moderate
Test Method Use real identical twins to test 1:n match failures at kiosk or bag-drop
Tested No

Fraudulent bag-check via identity spoofing (smartwatch variant)

Field Details
Description Same as above, but attacker presents biometric (e.g., face image or credential) via smartwatch or wearable device at kiosk/ABD instead of physical presentation
Likelihood Extreme
Prevalence Low
Impact High
Test Method Present face image from smartwatch display to ABD/kiosk camera; test system's susceptibility to on-screen face spoofing
Tested Yes

Fraudulent bag-check with prosthetics/makeup

Field Details
Description Attacker modifies appearance using makeup or partial prosthetics to mimic victim appearance while using genuine (stolen?) document
Likelihood High
Prevalence Low
Impact Moderate
Test Method Use a prosthetic nose, facial overlays, or theatrical makeup to attempt to defeat 1:n match at ABD
Tested Yes

Risk and Threats BNE

By Ted Dunstone

Risk and Threats BNE

  • 165