Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1962163502022497F0743F5DAA781AB11B6C0CB05D0F7830961FCF3AA3FC2CA5CC862A4 |
|
CONTENT
ssdeep
|
12:hCxswZ/qeqvnbFrs/+jSjVdJV6VOIvTKSdJY7xQu/4EtbFsnhEwW+BVY+Bj:hHi/qeQM++BV68Y+aY7xv4ushhBVY+t |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dada0e64e4c61b33 |
|
VISUAL
aHash
|
3c3c1cffff000000 |
|
VISUAL
dHash
|
68e828a894003008 |
|
VISUAL
wHash
|
bc3c3cffff001c00 |
|
VISUAL
colorHash
|
30000038000 |
|
VISUAL
cropResistant
|
20b098888c860647,c0c0c0c0c0c08000,a000100808080080,68e828a894003008 |
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 114 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)