Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17351E271A046EC335143E1E466E4BB4B3687C309C687250877F083AD1EF7C9ADEA6669 |
|
CONTENT
ssdeep
|
48:LUsUJhhzazZd9PTOiyXykJxnIa26xXAPb9uilLMsy6BLPHwut16:Li8zZj+ykJxnJb8b9ui9MsBFPwu6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83f67709890999fc |
|
VISUAL
aHash
|
3f3f3f3f3f3f3f3f |
|
VISUAL
dHash
|
d0ccccdad0d0d0d0 |
|
VISUAL
wHash
|
3f27373f3f0f0000 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
a09c989080808080,f184acb6b6ac84f3,0e71710e20000000 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)