Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BA043BF562D462D89107DBF4E1B2B965716F31FFEB92C68CC2E44A91B79189C8C88DC0 |
|
CONTENT
ssdeep
|
1536:RbeWKH6yHg12DAl9YTiX6mXAKi/rM3i02RbDqKcjnduP7Mt/OfAnyjTu8aSZ5HCd:/laZcjnduP7ZTu8aSZ5HPIp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76ab03d8ec53895 |
|
VISUAL
aHash
|
002060303c107e7e |
|
VISUAL
dHash
|
c6cccc6454f2d4d4 |
|
VISUAL
wHash
|
026a60343e1e7e7f |
|
VISUAL
colorHash
|
31201010000 |
|
VISUAL
cropResistant
|
3b396c8d95ec7911,dcdcccece86777ec,e0b1ab685858556c,f6e496c673f0d0d4,a5e4f2f9808296b6,c6cccc6454f2d4d4 |
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 5234 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.