Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B4C3932853220A2E61B755C8F493D75FA3A28348C707575DA3BE40B2BBCECE589D7385 |
|
CONTENT
ssdeep
|
768:z1EpX0t0cDXfos0/JPGsgqNGss55ss1kYGTsslJ2NgGss55ssJPGsgqNGss55ssX:z1EpX0SYXfoYeiBWcv5ChBm/oP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8cb533b4a633339c |
|
VISUAL
aHash
|
0e181818383c183c |
|
VISUAL
dHash
|
d633b2f0b068f068 |
|
VISUAL
wHash
|
7e18383c3e3c3c3c |
|
VISUAL
colorHash
|
38001000640 |
|
VISUAL
cropResistant
|
d633b2f0b068f068 |
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 117 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.