Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10D72F968F218337156C343D6EF2666EAF31350E983523F8C9A598258F59C8EFC8159C6 |
|
CONTENT
ssdeep
|
192:QofoBOJ5794Nx7Gh2BG8w/e4iV2CcHGzJYku9cuGRmKbMpBXp7sfgg8gk:QcoUuGh21w/e4m/SGz5smMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
952a552a55aa55bb |
|
VISUAL
aHash
|
01037f7f0f7f7f3e |
|
VISUAL
dHash
|
4bcf82ccccc8d1da |
|
VISUAL
wHash
|
01017f7f070f3f0e |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
4bcf82ccccc8d1da |
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.