Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E102D8322080993F562789B9B0E0F35A8299D31CC56BED7AF2DD01B72BD6D80C9775A4 |
|
CONTENT
ssdeep
|
96:TGHoCH4bYK5YJtt78y2Wk60/aP5j8xbpEup8XRcYbHvKcfkNIIp:aHCTYJr0bKQbpjpbYbH5fsIm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
94e44b39b5e19cb8 |
|
VISUAL
aHash
|
0300767767060000 |
|
VISUAL
dHash
|
a6a5acccccfc5179 |
|
VISUAL
wHash
|
0376ff777f0e0800 |
|
VISUAL
colorHash
|
32c40000000 |
|
VISUAL
cropResistant
|
e5b49a8e868e8c8c,e4e5a1a5b5bb61e4,2624414b6d45c5a5,a6a5acccccfc5179 |
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 12 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.