Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18AF2C69B210816E4C2B38FC8981166556147EB5FC9714370C2FC4E3E2BE39A5B689F7E |
|
CONTENT
ssdeep
|
768:6VD39RN9y+ve0rCCvgKrCCxhZjRjLhs4jY7yUjJoH9Pfeg0:6e5KltM7g0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2a109d22ddaa73d |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
8c800c940e083032 |
|
VISUAL
wHash
|
407fe7ffe7e40000 |
|
VISUAL
colorHash
|
0e0000100c8 |
|
VISUAL
cropResistant
|
8c800c8c150e0c10,0800080632361608 |
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 39 techniques to evade detection by security scanners and make reverse engineering more difficult.