35
30
57
30
30
30
30
30
45
30
57
55
30
30
45
55
45
30
60
30
60
60
30
60
Automatically Detecting DNS Hijacking in Passive DNS
Unit 42's machine learning pipeline detected 6,729 DNS hijacking events between March and September 2024, hitting political parties, ISPs, and universities.
Unit 42 processes roughly 167 million new DNS records daily and applies a machine learning model using 74 features over 169 TB of passive DNS and geolocation data to flag hijacked domains. From March to September 2024 the pipeline screened over 29 billion records and classified 6,729 as DNS hijacking, averaging 38 detections per day; a new model detects hijacks in customer traffic within about 10 minutes. Notable cases include a Hungarian political party's hijacked domain, defacement of a large utility company and ISP, and university and research center domains repurposed for illicit gambling. DNS hijacking typically relies on stolen registrar or DNS provider credentials or cache poisoning, enabling MitM attacks, phishing, drive-by downloads, and scams.
45
55
57
55
30
45
The Machine With Many Faces: Post-Exploitation Identity Misuse in SPIFFE/SPIRE
Unit 42 demonstrates that root access on a Kubernetes node lets attackers spoof SPIFFE/SPIRE attestation and harvest co-located workloads' SVIDs.
Palo Alto Networks Unit 42 describes post-exploitation techniques in which an attacker with root on a compromised Kubernetes node spoofs Linux cgroup metadata used by the SPIRE agent during workload attestation, tricking it into issuing a co-located workload's SPIFFE Verifiable Identity Document to an attacker-controlled process. The research shows the core trust assumption of machine-identity systems—that the node is trusted—collapses once root is obtained, exposing all cryptographic identities scoped to that node. Unit 42 released an open-source tool, Spooffe, for defenders to test identity exposure, and notes the technique has not been observed exploited in the wild.
45
Analysis of Smoke Loader in New Tsunami Campaign
Fake Japanese Meteorological Agency tsunami warning emails delivered Smoke Loader and AzoRult malware to steal credentials from targets in Japan.
A fake tsunami warning email impersonating Japan's Meteorological Agency asked recipients to click a link on a registered fake agency domain, delivering the commodity loader Smoke Loader to targets in Japan. Smoke Loader, active since 2011, is modular, and its payloads have included banking trojans, ransomware, cryptominers, password stealers, and PoS malware; the campaign later also deployed AzoRult. New samples add junk-jump obfuscation, encrypted network traffic and payload files, a unique machine ID used for tracking and encryption, and PROPagate injection into explorer.exe, with persistence via a Startup folder shortcut and RC4-encrypted C2 communication.
45
30
55
30
30
30
30
30
88 ID Verification Breaches Show the Cost of Collecting Identity Data
A report catalogs 88 ID-verification breaches since 2011 exposing at least 2.15 billion records, with 41 incidents leaking irreplaceable biometric data and documents.
A Mysterium VPN report compiles 88 documented breaches since 2011 involving identity and age-verification data, with confirmed exposure of 2.15 billion records and claimed totals of 4.54 billion. In 41 of 88 incidents, ID scans, verification selfies, fingerprints, and biometric templates leaked, data that cannot be changed after exposure. Notable cases include the Tea app's exposed selfies, Discord's ~70,000 government IDs, vendor failures at AU10TIX, Sumsub, and Persona, and national registry breaches in Argentina (45 million records) and France (11.7 million people).
68