Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F0824031A7812EBB42D786F3F1625F5AA6F9CB5BC24756A5B7F4C28D4BC0C90CD42220 |
|
CONTENT
ssdeep
|
384:WLqH8YnlaCYnrt7peqpagPv59UG28q9wZMXSd:GCYnrhpeqpagPv59UG28q9wZMXSd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbce27233479383c |
|
VISUAL
aHash
|
3cfffff800082800 |
|
VISUAL
dHash
|
e069323268786800 |
|
VISUAL
wHash
|
40ffffff18282c00 |
|
VISUAL
colorHash
|
38002e00000 |
|
VISUAL
cropResistant
|
e069323268786800 |
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 302 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.