Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T101822EA02055253F472B05D46071E602F196F6DCCE6FDAC863EE25933F8FCD15CA6A8A |
|
CONTENT
ssdeep
|
192:paBOFxTCCGfm+2XHabU/BFZrLbrkk/8iY6FqeBhz8nAYuyj:51GOxQ6FqeBhmuyj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba6cc512cf6f9406 |
|
VISUAL
aHash
|
030101810f8f0fff |
|
VISUAL
dHash
|
9e97872b393929d0 |
|
VISUAL
wHash
|
4f0103810f8f8fff |
|
VISUAL
colorHash
|
010004000c8 |
|
VISUAL
cropResistant
|
b641452545414141,0339b9393929cbd8,92333396cece56d6,9e97872b393929c9,0101412121218100 |
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 125888 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.