Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179F32A702100693F62F346F6F0697726B1AE831DD90F8964B3ACC5B673DDC9A9063B94 |
|
CONTENT
ssdeep
|
1536:2+rZUYU103/c9CYIAuYaCGmXQfb0Qvv3o2h2wV9IiBvtVPTMn56QKmuAtobZ8o:kYU103/c9CYIAmCGmX8VMAIGvnAKctoF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3c32c3cc3c3963c |
|
VISUAL
aHash
|
fecc7c6c6c2c0000 |
|
VISUAL
dHash
|
9008c9c9c8dc8830 |
|
VISUAL
wHash
|
fef4fc6c6c6e0008 |
|
VISUAL
colorHash
|
38200208010 |
|
VISUAL
cropResistant
|
9008c9c9c8dc8830 |
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 198 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.