Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T100C250318094683B06C3D6DDAB34A75FA3C2C259DE1B0B0AB2F98B4C5FC7D16EC16525 |
|
CONTENT
ssdeep
|
384:F9OMxjhoro2miTwBX+WFId1fFhjP58MOUqIft:F9Osjhoro2mmwBFId1fFJh82qIF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9612e9e916b6c569 |
|
VISUAL
aHash
|
0000040400ffffff |
|
VISUAL
dHash
|
94d9ccec8c0f23b2 |
|
VISUAL
wHash
|
0000662604ffffff |
|
VISUAL
colorHash
|
33007000080 |
|
VISUAL
cropResistant
|
301a005858206c0c,000c0e333323be9c,9c31c8cdccec8c8c |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.