Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T147E2DA72A1007B3B01A792C7B2A1BB5A63E3834FD34A141553FD875D0BE3E51E92736A |
|
CONTENT
ssdeep
|
768:HQev2QYS0gn3MRaYsiuXm0sIm7sOy2+y9BH4c1Ie:D2w0CvI7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d340f9329d6996c9 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
98c8c0c8dc0cc300 |
|
VISUAL
wHash
|
006478382c0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04200c86860c3004,0080800058988000,9888c0c0c8cc2cc3 |
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.