Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T123D20AF7115421F11302E7EAF22732ABB883417F6EA598B4A0BC0755E3F98EDC415D5A |
|
CONTENT
ssdeep
|
768:36Ilxsw96KyK8+qiKa6maDSQocyWcT3PidXT3X0tOWkPidXT3X0tOWyx:pTKV/WbV/WS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a363cd4920e7cda9 |
|
VISUAL
aHash
|
c324e7c7c3ffffff |
|
VISUAL
dHash
|
0e69698e9e600400 |
|
VISUAL
wHash
|
0000e4c0c3dbf3f3 |
|
VISUAL
colorHash
|
07000001038 |
|
VISUAL
cropResistant
|
0e69698e9e600400,048b431b1b23cb00 |
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 923 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.
Pages with identical visual appearance (based on perceptual hash)
Found 10 other scans for this domain