Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T199D294226349253EA53383E8E7617734529E828BE30F483AE57D1271574BD8DE933ADC |
|
CONTENT
ssdeep
|
768:KoibXXnf4H6PZxLi2al5eVW2NGvQv+LxAMK9mE9iGsaK6M3vbJv:W78OMnE4n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7943c65e43c94c7 |
|
VISUAL
aHash
|
06207e347060007c |
|
VISUAL
dHash
|
a4c0c4e4c2c428d4 |
|
VISUAL
wHash
|
76047e76706050ff |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
a4c0c4e4c2c428d4 |
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 11 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.