Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6C39625C34C081D92B759C0FD02B7253B73A3386209416EAF95247A858F7F57BBAEC9 |
|
CONTENT
ssdeep
|
1536:zMX/OIQ4rnrHrMuBBOc9HJIyCeROQlywk2fNTEtmL:vaTd6O |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
88095d867773a277 |
|
VISUAL
aHash
|
00190f1f3f7f0000 |
|
VISUAL
dHash
|
f3b3b7ffffeff320 |
|
VISUAL
wHash
|
091b1f1f7fff0100 |
|
VISUAL
colorHash
|
300000001c0 |
|
VISUAL
cropResistant
|
ffffffffffffffff,f3b3b7ffffeff320 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 2912 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.