Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BCA2A8A041C4316B0A77928D9E60EF2CB79312DEAB2A0E05937C465FDACDFD4CC155AE |
|
CONTENT
ssdeep
|
384:eE1CFakEA5sgcgsEwy4IcTtBjvHmlqwDHtak8uZWyZXCLYlJuhTccmkaak6xNONH:z1ChEAugcgsEwy4IcTtF/mlqwDHtak8a |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3f34d6ee64c4820 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
4c085d0c0c71f0d0 |
|
VISUAL
wHash
|
a0ffffffe7000000 |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
4c08191c0c0c0c0c,4eb5e9784ab0b44a,4a88954456083232,a281edcc2a9484d4,66c692b6d4d4c4cc,0000c0e0e0e01841,0660718cb033d0c8 |
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 7 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)