Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12AD2737060949ABF535B53C89B257B6E22D2F304D3464014BBF9A3DE8BDAEE0AD1351C |
|
CONTENT
ssdeep
|
768:sSLvIIfqQzJ3Jef0f61pfaLbdoUHKmP6+:sSLvIIfqQzJ3IMGpCLpKmPF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8a9b2326ba998f27 |
|
VISUAL
aHash
|
01303c3c3c3c0000 |
|
VISUAL
dHash
|
63e4f9b1a0e4daf1 |
|
VISUAL
wHash
|
99747c7c7e7e0801 |
|
VISUAL
colorHash
|
30000000038 |
|
VISUAL
cropResistant
|
a088912b33124202,63e4f9b1a0e4daf1 |
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 3290 techniques to evade detection by security scanners and make reverse engineering more difficult.