Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12614FB737248453B03E30ED0E2B92F4A77B6A381EA071142E6E443593EF5D54ECDA6E9 |
|
CONTENT
ssdeep
|
1536:11BguClxurOTl2Pa5GA/U+OUP9z/XQW9IUIyF8+AlanOgWeRr/NZ/jKMJS4rihwH:V3+x/PoOeDSHDwQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea63350c5e35616b |
|
VISUAL
aHash
|
00ffe1a5b9ffffff |
|
VISUAL
dHash
|
8e29095d6109151d |
|
VISUAL
wHash
|
00e5e18181fdbdcf |
|
VISUAL
colorHash
|
07000000006 |
|
VISUAL
cropResistant
|
9e29095d6109551f,006196969e966281 |
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 122 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.
Pages with identical visual appearance (based on perceptual hash)