Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A0437420E296052DF0539EC472A2EB0D6249854F974D4474DBF81A38DECFF787ADA388 |
|
CONTENT
ssdeep
|
768:2r2KsYVki8Y8KWRrL+i8Y8KWRrLSZnmqseiazN+7fQhA2FU3:czgZnmqxi8NJhA2FU3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0ee0301317df8f8 |
|
VISUAL
aHash
|
01b1d980406e4e46 |
|
VISUAL
dHash
|
5f612130bc8c8c9c |
|
VISUAL
wHash
|
01bdf9c0467e4e4e |
|
VISUAL
colorHash
|
31001000180 |
|
VISUAL
cropResistant
|
fcccae070f0480c1,5f612130bc8c8c9c |
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 304864 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.