Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10C736D116103A8A36533DFD0F4A6AE05F25AE30AC62ED6B1659D69615FEBC307F40CF8 |
|
CONTENT
ssdeep
|
1536:Di3Hb5hQQb0Ft9KB60tZVK7p4wcQiZQrRXiNMs2/+QrYwcRQdnHJ9qd7K8ZQPxTL:u3FftgLhYu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0070ff8f0870ff0 |
|
VISUAL
aHash
|
000000c7e7c7ffa1 |
|
VISUAL
dHash
|
0082f68c8eb4b455 |
|
VISUAL
wHash
|
000000e7e7d7ffbd |
|
VISUAL
colorHash
|
00000000e00 |
|
VISUAL
cropResistant
|
84a2949694dca2c4,0082f68c8eb4b455 |
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 69 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)