Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1724332B26186153F958791CAAB785B0EE1C7830BCA220D49F7F2838F9FC6D64FC59524 |
|
CONTENT
ssdeep
|
768:4oZ8fTZ8fmHaTLRsV/TtXwgBGpA8RXCLZ7viJBJBse+fZHzaDbcduhsty0gKIBKG:/LGwke9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eeec2b03da8951b8 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
2325372727cbcb45 |
|
VISUAL
wHash
|
fff3fbf3f1000000 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
2b652537172725c3,a280822c2c8280a0,2f2b2f0f3f3f7f35,20c8c9cbcbe54551 |
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 112 techniques to evade detection by security scanners and make reverse engineering more difficult.