Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F293B73A11492FBB288340F1C25DA749E7C7C649CBDBC94EA7A8C36B35C5ED0CA251E5 |
|
CONTENT
ssdeep
|
768:DTXX3JZbDLl2zjuZ3vTpEO1ljD3dVi6IXX3JZbDLl2zjuZ3vTpEO1ljD3dVi6QR0:fQ2RDs0k9Rua05TWcWMJX0WxmLj8Ad |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe969696b6 |
|
VISUAL
aHash
|
00003c7e7efff3ff |
|
VISUAL
dHash
|
8493c8d0cccc27cc |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
0e0060000c0 |
|
VISUAL
cropResistant
|
ccc8d4cccc238e0e,8c92d2d3c0c8dcd4,4551253131394551,80ed252dedada2a9,01456171714d4180,a425440401dc8c9c,9a8a332bab6b2021 |
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)