Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11802EF203410895B97172F81BEE1ED68BDC3F34BC506D8B0E1EA52ED4EE2EE54C6546B |
|
CONTENT
ssdeep
|
96:jdE1suByR3jPXljLODbuAi7+vlEwOzM/xeZr/esv2T2W:Ao3Bx2zZaa5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b16793306ccf9859 |
|
VISUAL
aHash
|
e3c3ebc3c3cfcfcf |
|
VISUAL
dHash
|
0b0f0b27161e1a1a |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07c00018000 |
|
VISUAL
cropResistant
|
0b0f0b27161e1a1a |
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 319 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.