Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17AA2002092585927619B84E4E6319BDF3356C382832307697AF4D27AFACEC71CD725CD |
|
CONTENT
ssdeep
|
384:kHb7R+CNHmOwvSyTXDEL6XMNu1zVPjXsyeF6:kHbFVe5nqF6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c93ce269986372dc |
|
VISUAL
aHash
|
0000181818207e7e |
|
VISUAL
dHash
|
9030b07030c0c4d4 |
|
VISUAL
wHash
|
c0183c181870ffff |
|
VISUAL
colorHash
|
31000007000 |
|
VISUAL
cropResistant
|
820498d4d4c42280,9030b07030c0c4d4 |
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 261690 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.