Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18EE266B2C18120EB21238FE5E8656F6B32D7927DCA33CD1047BC4B5DEBD9DC49619886 |
|
CONTENT
ssdeep
|
384:iIrB7lGtim1pk7r2PPaL6/C8oJw8VARqIc/pThmEzGT:f7lAiX7U3/GyRXc/pHzI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed966c2d966c9660 |
|
VISUAL
aHash
|
f7ffffffff8181c1 |
|
VISUAL
dHash
|
2f02122063131737 |
|
VISUAL
wHash
|
81dfdb9dbd818181 |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
2f02122063131737 |
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 38 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)