Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T129E2B932B0107A3B41A792CD73A1E71EA2E39249F746041593FE836D1FE3D54EA33526 |
|
CONTENT
ssdeep
|
768:HSky5NcwSdkdO6hvJXYTys7sOy2+y9BH4crIe:wuim+s7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363b838ed47c383 |
|
VISUAL
aHash
|
000020200000ffff |
|
VISUAL
dHash
|
928cc8c2c2ccdc00 |
|
VISUAL
wHash
|
0064fc707004ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
c00080025cd88000,d28cc8c8c2c8ccdc |
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.