Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1052371B25142593F8A8781D6F7295B89E3D2932BC7220C45BBF5871BAF82D30FD161B4 |
|
CONTENT
ssdeep
|
768:PQCNrzGNt9Zs+GPTnZwbbQNKhrp+ohCyoxaSrE0X1Xmh2fld1ClthJu/fi0n+mlN:oxs2ys8ky8udG+vbDqBQF2Ok5dfyqAy+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d600e93fc037966d |
|
VISUAL
aHash
|
6400040e0404c0fc |
|
VISUAL
dHash
|
ccc56cec6c5c0c80 |
|
VISUAL
wHash
|
fe00063ebe86c0fe |
|
VISUAL
colorHash
|
00048001600 |
|
VISUAL
cropResistant
|
c0f0769c9d92c271,36765a4a5e0780b0,ccc56cec6c5c0c80 |
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 121 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.