Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T146037371E354ED7B91C2D2D6F731629FB284D286AB43426683F4C7485BC7D88CC26C9A |
|
CONTENT
ssdeep
|
384:W6h9C85exmUwOzl2/wdtwRw6mvm8mtmLmOmHmwmclqmjm8Km9tMatHVr9dnYEQ:pawstkHlnP9ia3MB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd9932f6c630e61c |
|
VISUAL
aHash
|
fffbdbf8f8e00000 |
|
VISUAL
dHash
|
7032323272049ce4 |
|
VISUAL
wHash
|
fffbd8f8f8e00000 |
|
VISUAL
colorHash
|
11006200000 |
|
VISUAL
cropResistant
|
3839193919382204,7032323272049ce4,9589e6e6193628a8,3727a56a2ba6687d |
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)