Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T184A3F2308251162589839784FFF2938F41349356CAA31CDEF7E9822B7F8ADACDF15562 |
|
CONTENT
ssdeep
|
1536:x7+fcSQSrMtYeN2STzdTdU1U/pEl0XP151e+L2gNjGyTR4nwE8iA5GvgM822:x7+fmTdx8jl0XP1775GvDw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d92cb623f28cd8b8 |
|
VISUAL
aHash
|
460018180808ffff |
|
VISUAL
dHash
|
8494b3d0d8d0b380 |
|
VISUAL
wHash
|
ff0018180868ffff |
|
VISUAL
colorHash
|
01040000c00 |
|
VISUAL
cropResistant
|
0004104c4d1c1000,e8cc8e9e9b2aeefe,3b1ede9af8c933e3,b2b2b294008080e4,9414b2f0d0d8d8f2 |
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 504 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.