Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A0541BBCA1A052B7E037C7E4F5227D2471A771EFFB898254C1F847785ED6CA978188A0 |
|
CONTENT
ssdeep
|
1536:nd0hBUT4fMyMaMyMUMyMUMoyNOdZa6LaNsGWcqBP00MOY+TKSIgJlbK9Fu6m/Sn6:ndVTR7z7x7xDDHqcU3Ka7z7x7xrhd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c03ec73fc03b852b |
|
VISUAL
aHash
|
017040c04000207e |
|
VISUAL
dHash
|
43a0a480a064c9d4 |
|
VISUAL
wHash
|
b3f0f0c0f0007f7e |
|
VISUAL
colorHash
|
38208000040 |
|
VISUAL
cropResistant
|
220709384755a66b,43a0a480a064c9d4 |
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 1289 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)