Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1400486F0C478EE3B41A383E062C65BC572D9A244C5EB131982F6636997BACD1FD0B45E |
|
CONTENT
ssdeep
|
1536:OsRguJqQyjq7RO9B69K97N7SjbglyGYuHUfVXkBNMM89OXQ6YGyEG4tjRTvBZVIy:9+SJzoqpoO9Orrcq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b16166c666656733 |
|
VISUAL
aHash
|
c3c3c3c3ffffffe7 |
|
VISUAL
dHash
|
8e9e9e96681c9814 |
|
VISUAL
wHash
|
03030303c3c3dfc7 |
|
VISUAL
colorHash
|
07400030000 |
|
VISUAL
cropResistant
|
8e9e9e96681c9814,e0121d061611c4a2,808801c80c0c0d0d,32721111336b6b2e |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)