Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151B381D61628438CA04B997DEF2FFE05131FB4AABA5849801A4FC26CD29F4D6F71752C |
|
CONTENT
ssdeep
|
768:YnVju+UyxwrTwIb70rx0RQ7HCZ/9PyfR8MRERXQHK51qRX3Fk/9PyfR8MRERXQHi:+50RQ7HCZFsR8MLqc1kFsR8MLqcMW0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aad52ad52ad52a55 |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
0800000000000211 |
|
VISUAL
wHash
|
0018000000000000 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
0800000000000000,0008111011150d01 |
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 176 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)