Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T192D244786843793FE583CBF2617653AAB282D941CF33CBC54AE443A88EC6D8ACF51155 |
|
CONTENT
ssdeep
|
384:frCZc8dv1OyjZ67VvEjY1nP2tk7OJoM6lY3Qft:OZDdv1OyjZ6FnP2tk7WkAQF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d302fc2c7d9ac712 |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
34cdccc986483036 |
|
VISUAL
wHash
|
00246c0c00ffffff |
|
VISUAL
colorHash
|
07c00008040 |
|
VISUAL
cropResistant
|
0030c03136163632,6434c9ccc8cb860a |
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 44 techniques to evade detection by security scanners and make reverse engineering more difficult.