Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14352103070023C3A693346C0F5D16F197557933AC71A1928E7A9177AABCECE46D737A8 |
|
CONTENT
ssdeep
|
384:KilIZ6IWnZ5L2h95L299L2s9OL2ekL2bnL2lWrCtTzhBeC3D7b:KTZ6IWnZ5L2h95L299L2s9OL2ekL2bn+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8e71346465357177 |
|
VISUAL
aHash
|
003c3c3c3c3c3c3c |
|
VISUAL
dHash
|
6979696969696969 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
020020001c0 |
|
VISUAL
cropResistant
|
f2f25f8282828282,6979696969696969 |
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 63 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.