Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T167E155E1C054DD3B031286D6F7F52F5FBA92C349CF06098493FC42AB97DAC60CA16A99 |
|
CONTENT
ssdeep
|
96:Tka79oh4lzH0XfeG9Edt7NqDwvF0eZXuHFuepXDz/Ht7SqQPJ:Qa79oh4lzH0X19EdnquYzxzfsqQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b99369c6c64c465e |
|
VISUAL
aHash
|
c3c3c3ffffc3c3c3 |
|
VISUAL
dHash
|
161e1f36000f1717 |
|
VISUAL
wHash
|
00c3c3ffffc38181 |
|
VISUAL
colorHash
|
070030c0000 |
|
VISUAL
cropResistant
|
171f1732000f1717,a424c9d9915b26a4,b4b4b0b4b4b4b0b0,692d2c2c0ca6a6b4,e690908c94c08000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)