Noodlophile
Noodlophile is an information-stealing malware family first publicly reported in May 2025. It has been distributed through fake AI-themed tools promoted on Facebook and other social media, where victims were tricked into downloading malicious ZIP files. Early campaigns focused on stealing credentials and cryptocurrency wallet data, with exfiltration via Telegram bots. Later activity evolved to remote-work and recruitment-themed social engineering, using fake job postings, application forms, and skill assessment lures to target job seekers, students, and digital marketers. These newer campaigns delivered multi-stage stealers and Remote Access Trojans, including through DLL sideloading, and were linked in the provided reporting to the Vietnamese threat group UNC6229.
Recent Noodlophile variants were described as significantly evolving their anti-analysis and reverse-engineering resistance. Reported changes include padding files with millions of repetitions of a vulgar Vietnamese phrase directed at Morphisec to disrupt analysis pipelines, use of the djb2 hashing algorithm for dynamic API resolution, hardcoded signature validation to detect tampering, termination when modification or debugging is detected, RC4 encryption protecting a command file named "Chingchong.cmd," and XOR-encoded strings to evade simple string-based detections. Telegram remains central to the malware’s command-and-control and/or exfiltration workflow.
High-confidence capabilities directly mentioned in the content include theft of credentials and cryptocurrency wallets. The malware is also described broadly as an infostealer used in enterprise-targeting attacks and as part of multi-stage intrusion chains. The content additionally notes that researchers compared or grouped Noodlophile alongside other Vietnamese-attributed stealers such as PXA Stealer and NodeStealer, but only the UNC6229 linkage is explicitly stated for Noodlophile in the supplied material.
Hunt this family in your stack
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Groups observed using it
1 distinct threat actor attributed by public researchers. Open in Mallory to see the full evidence chain and overlapping campaigns.
“The Noodlophile information stealer, originally uncovered in May 2025, has significantly evolved its attack strategies… These early campaigns focused on harvesting credentials and cryptocurrency wallets… Recently… utilizing fake job postings… to deliver multi-stage stealers and Remote Access Trojans via DLL sideloading tactics.”
Techniques & procedures
11 distinct techniques documented for this family, organized by ATT&CK tactic.
Resource Development
2 techniques
Resource Development
Initial Access
1 technique
Initial Access
Execution
1 technique
Execution
Stealth
3 techniques
Stealth
"...added a layer of RC4 encryption to protect the command file..." and "...employing XOR encoding to hide previously visible data."
Credential Access
2 techniques
Credential Access
Discovery
1 technique
Discovery
Command and Control
1 technique
Command and Control
Recent activity
8 sources tracked across advisories, community write-ups, and news. New activity surfaces here as Mallory finds it.
An information-stealing malware family that has evolved its tradecraft; reported as being deployed via fake job postings and multi-stage infection chains, including DLL sideloading, with added obfuscation (djb2 hashing and XOR encoding) to hinder reverse engineering.
Infostealer whose operator modified samples by padding file size with repeated text (likely to evade analysis/detection or as a taunt).
Information-stealing malware spread via fake AI tools advertised on Facebook; operators added large amounts of junk strings to bloat samples and disrupt certain AI/Python-disassembly-based analysis workflows.
An information-stealing malware that harvests credentials and cryptocurrency wallet data, exfiltrates via Telegram bots, and in newer campaigns is delivered through fake AI video generator ads and later fake job postings/assessments. Updated variants add anti-analysis/obfuscation (file bloat to crash Python disassembly-based tooling, dynamic API resolution via djb2 hashing, tamper/self-check signature validation, RC4-encrypted command file, XOR-encoded strings) and use Telegram bots for C2.
The version that knows your environment.
Match every observed IP, domain, and hash against your live telemetry.
Named campaigns wielding this family, with evidence pinned to each claim.
CVEs this family uses for access and lateral movement.
YARA, Sigma, Snort, and vendor rules, auto-deployed to your SIEM.
Every documented technique, ranked by evidence weight.
Reddit, Mastodon, and CTI community discussion around this family.