Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19FD3B83023583A2E621387DCE764B7A8215DD286E65F815CE6FC22716BC6CC5FC37694 |
|
CONTENT
ssdeep
|
1536:YJSb0z5RR5BBpokLgZrrrrKrrrrk6rrrrdrrrrgrrrrhMmH21dTkgc0:0RR5rjZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b367319964723399 |
|
VISUAL
aHash
|
e7efe7e7ffe7efe7 |
|
VISUAL
dHash
|
4d2a4d4d324d584d |
|
VISUAL
wHash
|
c3cbc3c3d8c0d8c0 |
|
VISUAL
colorHash
|
07000010006 |
|
VISUAL
cropResistant
|
4d2a4d4d324d584d,2c8c8c1e32bc4cf0,1b3b1c32a3493b5a |
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 69 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.