Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C8D29632B140263B129783C97761F75EE2E6938ADB85090663FD835D4BD7F90DD2382A |
|
CONTENT
ssdeep
|
768:qeFy5NYCQirm1phDu8Fh7skIo4/J7sOy2+y9BH4c1Ie:AQiwphnFh7z87sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343d43e9c29a5e3 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
9cc5c3e3cd0c9300 |
|
VISUAL
wHash
|
00fdf1310400ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
0080800458988000,dccdc3c3c3cd0c14 |
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.