Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3029BB5435020990BC7B884A5D37E17A172C9FAF60F6CAC517C89AE1ED2FB5C8C52E4 |
|
CONTENT
ssdeep
|
96:/iJQ6ukRKSL3N3/3U3a3f373N53Op3b3/3O3QhPVY/rhURahEAhl3MoMqtThFYhA:/ij7PefAiItyPFCQj8U5yh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c996b649cab6491e |
|
VISUAL
aHash
|
7fff999918188bff |
|
VISUAL
dHash
|
d14e333333336a2c |
|
VISUAL
wHash
|
3cff9999181800ff |
|
VISUAL
colorHash
|
07006200000 |
|
VISUAL
cropResistant
|
d14e333333336a2c,d94bd3d445293668,305432b25671371e |
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 2116 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.