Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17DE141E1C018DD36531385D6F7F55B5F7692C349DB02098853F883EBABDBCA0CA22699 |
|
CONTENT
ssdeep
|
96:Tk3fzHO7fSTinbDCLSS8ctmM/QeWwvFWQeRXLHFGexXPHkLPGX5X/VoJ:Q3fzHO2OniJYM/ah35MKXtu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8782f479cae6e8c2 |
|
VISUAL
aHash
|
ff3e3c3c3c000006 |
|
VISUAL
dHash
|
92f8e9e9f09266c4 |
|
VISUAL
wHash
|
ff3e3c3c3c00007f |
|
VISUAL
colorHash
|
06c02000000 |
|
VISUAL
cropResistant
|
00d2f8e9e9e9e9e9,c7e73dfdf9f1f1a1,64f4830400000000,f8e9e9e9f9d2b666 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.