Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BB334BE83511F22157F741E740AF2916337E651FA80F4460A268EFCA66F4899B0A7FCD |
|
CONTENT
ssdeep
|
768:XPTvSQ59cBWv+M4yTMHeIv6RGz4gKBoUzqH4Je/uQg/A:DSQU8WyTDJdQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aa080ef7f7233269 |
|
VISUAL
aHash
|
010100c3ffffffff |
|
VISUAL
dHash
|
3733331f170f1f1f |
|
VISUAL
wHash
|
01000083efc7ffff |
|
VISUAL
colorHash
|
10000c00000 |
|
VISUAL
cropResistant
|
3733331f170f1f1f,d7d1981e5f366147,2896a46d69915200,0f0f333333331d0f,38230f070f070f07 |
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 191 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.