Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T167B37030E210A93B819382C1E7B5971E73C69349CE13068677FC5BAEDBDACD4EC26548 |
|
CONTENT
ssdeep
|
768:dsY01p+mufCrpWrPvEhmyrUghttlMYFBGz5aWGTXIMrFcz30TmEdLPXa0jHRH+b4:dsY0L+mvy4drUghtGExwgvYWvwGV7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93a56c5a5a659393 |
|
VISUAL
aHash
|
0073ef6f4c0c0008 |
|
VISUAL
dHash
|
14c6caca98986369 |
|
VISUAL
wHash
|
00ffffff4e0c0018 |
|
VISUAL
colorHash
|
18000000180 |
|
VISUAL
cropResistant
|
a01a566979d910a6,b24c4eb0b0a220a6,e09a5e40594899a6,e09a5e60595818a6,7072e09098e8b6f2,14c6caca98986369 |
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 71 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)