Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126E2D8622158967F295783C8FB153F6EF649408CDB6107FDEEEAC289A2C5FB01C32245 |
|
CONTENT
ssdeep
|
384:uPnBylCMK+7x5xyX6OdxCRX33I+dGwzkyliXU6xC:ENvueXBdxCRX33I+dZzkZxxC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9936b69e3330e499 |
|
VISUAL
aHash
|
7e3c180818181838 |
|
VISUAL
dHash
|
dc713333333333d0 |
|
VISUAL
wHash
|
fefc181818181c7e |
|
VISUAL
colorHash
|
10007000000 |
|
VISUAL
cropResistant
|
86662e8aca6a6e8a,b2334d4d4d4d33b2,dc713333333333d0 |
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 930 techniques to evade detection by security scanners and make reverse engineering more difficult.