Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19661883511280C2F97839AD0F3F1B72625DBC349CBA7644892FA62F957C2CE1CC6A294 |
|
CONTENT
ssdeep
|
48:TxHqqfZA1/qDDSgJ8B9DQA6YlJ8BB6VQA62w2XKZgQeFBCbJ0fucpUj:T9Xf21/4C1CB6nKuFsiNpUj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
999966669999cc33 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
0c32b2b2b2b2320d |
|
VISUAL
wHash
|
ffffffb818180000 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
8e8c9686807113a2,0c32b2b2b2b2320d |
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 24 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)