Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A0C361616583E87B916386D09077672971D26308CF038992FBFC83FA4BDDDAEF925094 |
|
CONTENT
ssdeep
|
3072:KZ9fJY161d33nqF2v8BvhOTzVrS7cDe7P:KZ9fdq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6d648294b56355b |
|
VISUAL
aHash
|
32f6e6e623030000 |
|
VISUAL
dHash
|
e4cc4c4c43567731 |
|
VISUAL
wHash
|
76fff6f623830100 |
|
VISUAL
colorHash
|
38600030000 |
|
VISUAL
cropResistant
|
f0f0b22969e8e4e8,848404040c4c0c0e,e4cc4c4c43567731 |
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 67 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.