Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A5938676114A2E77209341D0861CF689F783DA0EC793C946A3F8C36B7A86EE1D9255FC |
|
CONTENT
ssdeep
|
768:5lnjDpFr3PlK3zqVTnT1UWNtnTnhN+WAnjDpFr3PlK3zqVTnT1UWNtnTnhN+WwRz:LsaRt10Ilh0b0Hpwciopk0OxmLj8oP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe969696bc |
|
VISUAL
aHash
|
00003c7e7efff3ff |
|
VISUAL
dHash
|
8493c8d0cccc27cc |
|
VISUAL
wHash
|
00003c7e7eff91c7 |
|
VISUAL
colorHash
|
0e0060000c0 |
|
VISUAL
cropResistant
|
ccc8d4cccc23cc4c,8c92d293c0c8dcd4,4551253131394551,80ed252dedada2a9,01456171714d4180,a425440401dc8c9c |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)