Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1287397729095D87701A3D6C1A2B4671F36E6D35FDE030783A3F8ABAD5BD6D80ED22610 |
|
CONTENT
ssdeep
|
768:NjmRTII4PIIAns7X9kGEml12QnqXb5Ch1Hd+AP3xd4CdnNw:J6IIuIIws70XbMHIu3QCjw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d5242a35552f7a2d |
|
VISUAL
aHash
|
00fffffefeffff00 |
|
VISUAL
dHash
|
0e3831466a282b21 |
|
VISUAL
wHash
|
009f9f7e7e0e3e00 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
2a3142722a282a21,402223020c2c4000 |
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 28 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.