Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E2D103703250187B164787B8B152BEE9E1FACB19C92788EAB355429377CFC609ED7281 |
|
CONTENT
ssdeep
|
96:TDZDLJovKnKLHK7KbKDiTRKwxQshBfFB4kW2hkstcBHdNhQwHji:fZ3Jo8uQshrB4kW2hdtcBHDS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac67936c65384667 |
|
VISUAL
aHash
|
00ffc3d3d3c3cfff |
|
VISUAL
dHash
|
4518969626b6b946 |
|
VISUAL
wHash
|
00cf83838383cfff |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
4518969626b6b946,9595ca33b58c6a6a,c021dad4c413e0c0 |
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 36 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.