Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18782423A310138AA12379BC1F4D16F087483AB3ADA548564E3F70A516FD6CF4D866F79 |
|
CONTENT
ssdeep
|
384:FBPG9nLLMVMfO44xJ244Y5yXFbjITzhBeC3D:FBPUHMVMfO44G44Y4XFbjITzhBeC3D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d242d1d57f5d8095 |
|
VISUAL
aHash
|
feffff0000ffffff |
|
VISUAL
dHash
|
e8e800010d00100c |
|
VISUAL
wHash
|
00003800ffffffe1 |
|
VISUAL
colorHash
|
07200038000 |
|
VISUAL
cropResistant
|
e8e800010d00100c,0101101010100001 |
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 40 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.