Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EF530D65FA05596B613387C0C1227F1A3296F34FD60AC69097F84BB45FD3DBE7822A60 |
|
CONTENT
ssdeep
|
768:Y1fidHEjgN6iCNRbsd19ckM3Qd5vI9FAh4vX0IsrNI:YJ4kOysd19ckM3QdxI9Fhf0drNI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f722334c89d99999 |
|
VISUAL
aHash
|
e7c3e7e7efffe7ef |
|
VISUAL
dHash
|
0c4d0c0c0c040c0c |
|
VISUAL
wHash
|
c3c3c3c3c3e3c2c3 |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
0c4d0c0c0c040c0c |
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 27 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.