Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11413EA308051993B02E393C9A779272FA3D3920ACE630B4677F8875D4FDBD45CD26A69 |
|
CONTENT
ssdeep
|
768:KRtS3B3t2DMws1IkSSqinJMwJ3id8J8P8jSk9I+rUR:KRtS3VtoTs1dSSq6eKy6S0dUR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9353c969a6e51b92 |
|
VISUAL
aHash
|
00000c060709ffff |
|
VISUAL
dHash
|
d0d858cccdbbb20c |
|
VISUAL
wHash
|
40000e072f1dffff |
|
VISUAL
colorHash
|
32200000180 |
|
VISUAL
cropResistant
|
a08e96b3b38ec8f0,58cccccd19b30837,d0d279cccccd19b3 |
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 58 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.