Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T160735919611DACA76D33D5D0FC07AE06F292F30BA62894A267EB41425FEBC387D4247C |
|
CONTENT
ssdeep
|
1536:RQ3HbZUOS/cFpn9u6m/Z7UF1mUfGwKGrqL5LSuUBhGzYUfd+IkvbfsFtAGhArf/5:WoUaU4JAIu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e0e0e0a00fdf1f1f |
|
VISUAL
aHash
|
f3d300000002ff00 |
|
VISUAL
dHash
|
86a64902f48c8c55 |
|
VISUAL
wHash
|
f3fb000000c7ffbd |
|
VISUAL
colorHash
|
08000000e00 |
|
VISUAL
cropResistant
|
86a64902f48c8c55 |
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 69 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.