Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FAA3D1308291152589C39784FFF2938F41349356CAA31CDEF7E9822B7B8AD9CDF16562 |
|
CONTENT
ssdeep
|
1536:UJyf2PFSrMSYeN2STzdTdU1U/QEl0XP151e+L2gNjGyTR4nwEHiZ1Dvql2:UJyfjTdx8al0XP1KA1Dvp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c91cb633b3ccc8b8 |
|
VISUAL
aHash
|
460018180808ffff |
|
VISUAL
dHash
|
8414b3d0dad0b280 |
|
VISUAL
wHash
|
ff0018180868ffff |
|
VISUAL
colorHash
|
01040000c00 |
|
VISUAL
cropResistant
|
0014689696162000,e8cc8e9e9b2aeefe,bb1ede9af8c923e3,b2b2325a10008064,9414b2f0d0dad8f2 |
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.