Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CC15C1F3D2C2653A0FF1C29CF760736DE2D34189F8C5C4DA75A25E816AA5FB2490249B |
|
CONTENT
ssdeep
|
6144:m4P+LcKJ3/JBCOW4/keeMwl2ZfpeXyZy3VL/7qiw5Tu911fB04yzjt32:iBBTTkeeMwl2ZfgXyZy3VL/7qiG61opm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9cc3e39c7136d831 |
|
VISUAL
aHash
|
e4fb98999b9f878f |
|
VISUAL
dHash
|
cd9233333236361e |
|
VISUAL
wHash
|
f0f898989b1f070f |
|
VISUAL
colorHash
|
06202200000 |
|
VISUAL
cropResistant
|
9c9c9e9eceee8064,6060c0c0c4c0c0c0,cd9233333236361e |
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 990 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.
Found 1 other scan for this domain