Detailed analysis of captured phishing page
No screenshot available
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B7423023B500DD2A4EAB8ADCF2C4A549441DD346FA318CCAA2A4C1FF7BC4DF165947AD |
|
CONTENT
ssdeep
|
192:W/GijoQdeaSW677Tit+51McnthWeNWbZfMmUU8VCo9BszOkI8rt9:+GKeak7L58fMmUFCo9Bs6kI8rt9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e699d92699996689 |
|
VISUAL
aHash
|
ffe7e7efe7e7fffe |
|
VISUAL
dHash
|
000c0c180c4d0004 |
|
VISUAL
wHash
|
fce0e0e0e0e0e0f4 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
000c0c180c4d0004 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)