Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T118722B66A2042174490343DEFE1353EFF217509DAA6217C9EA78C22CB2DA9DDCC35DC9 |
|
CONTENT
ssdeep
|
192:QozoBOJ5794a7NWJl+J6F5B9xO83ku9cuGRmKbMpBXp7sfgg8gk:QCoU13+5B9EdsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f52a55aad5aa55a0 |
|
VISUAL
aHash
|
c380a4ffc3dbc7c2 |
|
VISUAL
dHash
|
070d4d0c962b070a |
|
VISUAL
wHash
|
c38100ffc3dfc3c2 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
070d4d0c962b070a |
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 491 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.