Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T190A37BD02005A9D360BF8AC4BC667F966186E30FD6BBC24A5F9E89115EC7CFC77506A0 |
|
CONTENT
ssdeep
|
768:1cGHl3WEYP4EYKGZRHC8NezFauXCFOMQ/ChR:19HlGEXEhGRum |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc669b88999967 |
|
VISUAL
aHash
|
1818181818181818 |
|
VISUAL
dHash
|
b2b2b2b2b2b232b2 |
|
VISUAL
wHash
|
18181818181818ff |
|
VISUAL
colorHash
|
30000000038 |
|
VISUAL
cropResistant
|
8244801216900082,a280332b2b2380a2,b2b2b2b2b2b232b2 |
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 75 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.