Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8B22C316445BE3700C3A3E19B35A79EF3D18309CA67665582F9C38A5BDAC81CC2779E |
|
CONTENT
ssdeep
|
384:CSnRQfxzpNAABEAwBX+1VAFKwGSm/cZcyU9MZm/KiMoNPncbo6M4m05oEZSMCjLS:bSJp6ABEA5325Od+0xMoN/cbo6M4m0KM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b414cb6bf04b8eb4 |
|
VISUAL
aHash
|
000606064600f9ff |
|
VISUAL
dHash
|
848cac8c8c8c4332 |
|
VISUAL
wHash
|
ea0606464602ffff |
|
VISUAL
colorHash
|
06202018000 |
|
VISUAL
cropResistant
|
0002c42b2b048000,80a0a0a0a0a0a0a0,f9b987150d0d0f97,32329e3a7bf8fcf0,400000502a3c5b8b,808cacac8c8c8c43 |
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 105708 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.