Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BFE2CA716140673B016792CAB291BB5E63E3834FD34A051263FD836D4BE3E50E92B76E |
|
CONTENT
ssdeep
|
768:hQeRn+0XSEvHHBQBCu0G2LfeiY7sOy2+y9BH4crIe:HnY/CC7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c242f93a9d4d96e1 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
98c8c4e0cc0cc300 |
|
VISUAL
wHash
|
006470303e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04200c86860c3004,0080800058988000,d888c8c4c8cc2cc3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.