Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1069232356110957B27235AC8B290EB4DF2C3E34DCE06E895A2FE93D547D5DD28862CB2 |
|
CONTENT
ssdeep
|
384:RWVuEwz07v/X2pdkGBnYQsYQkIbXmV9pRF:RYopVYQsYQkIbXk9pRF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
91952a6ecb6b6a2a |
|
VISUAL
aHash
|
837f7e7f0000005c |
|
VISUAL
dHash
|
0a9e9ecaca2481a5 |
|
VISUAL
wHash
|
83ff7eff0000007f |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
0a9e9ecaca2481a5 |
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 29 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.