Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15BD21AF3A14421E11303E7D6F32A72ABB483417F2EA598B4F1BC4655D3F98ADC446D1A |
|
CONTENT
ssdeep
|
768:X6Il/eJQOX1zDSQoFRQ7t0QPidXT3X0tOWSPidXT3X0tOWIx:67tAV/WNV/WA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a226cdcda121e3cf |
|
VISUAL
aHash
|
e30024c3ffffffff |
|
VISUAL
dHash
|
060c4d8e70040000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
070000011c0 |
|
VISUAL
cropResistant
|
060c4d8e70040000,048b431b1b23cb00 |
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 4480 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 10 other scans for this domain