Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T164E238B49230D335B1824BE8DA6428687A5FE1DDD7C694B4F398AF51B0D6CECD8250CB |
|
CONTENT
ssdeep
|
384:Y7fUWeguBlEFcRhiXkdvNTDhPhLxeAxeDWNW1Tp34PxeeJEmuW3Asc8RWkMd:Y7fUWegu7phhPhleMeDGCSPxeeWmH7W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2ae17f168ce0f09 |
|
VISUAL
aHash
|
030f1ffded0f1f00 |
|
VISUAL
dHash
|
5f1c6ba99b18bc39 |
|
VISUAL
wHash
|
010f1ffdcf0f1f00 |
|
VISUAL
colorHash
|
38001010003 |
|
VISUAL
cropResistant
|
5f1c6ba99b18bc39 |
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 78 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)