Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T144145B603001B3BB2A734BD571AA670AF289B71DC80BC958B3B5D5923BCACD59713F91 |
|
CONTENT
ssdeep
|
1536:Drq6oJfVlXkMNeLgkIS2XFfbsQmlo2h2wV9LHd8tVPTMn57Bdluq++iX8z:Drq68V9vMnIS2XjUMAL98n0dH++v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e3691c14250feff0 |
|
VISUAL
aHash
|
00c0e1f1f77d2800 |
|
VISUAL
dHash
|
b61143c3cec1d984 |
|
VISUAL
wHash
|
00d8f1fb7f7d2c00 |
|
VISUAL
colorHash
|
31000e00000 |
|
VISUAL
cropResistant
|
e08060f8f8f8f0e1,ffbf7ffefcf8f0f0,e0c080e0e0f0f0f0,9edc78be9090c1c8,b61143c3cec1d984 |
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 1251 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.