Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1318264625548753B82E3C1EA5E315F6AF7E04119CF931608A7ECC39D1AC7CE0EE2B952 |
|
CONTENT
ssdeep
|
384:/YHmDkckf/AAEP/qQNOZZWF5pXXtAi+WXzOv:NDWuqQNOZsQizXyv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e0bf9f3f0f3c0050 |
|
VISUAL
aHash
|
80ffe04060604078 |
|
VISUAL
dHash
|
1388808080829081 |
|
VISUAL
wHash
|
81ffe0fee060c07c |
|
VISUAL
colorHash
|
07002008440 |
|
VISUAL
cropResistant
|
1388808080829081 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)