Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18A43D8F69274E37A908ED7D8C61185F573A900FEEF42E35482E4CF5E5AA89C9CC499C0 |
|
CONTENT
ssdeep
|
768:xtgGEHoGqrQOLeV2n4CHmFOBmZ23NqozGq+IIKy3T9hPB:0GRGOe31bZ2tzGq+IIKyfPB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c16f903f943ec169 |
|
VISUAL
aHash
|
ff000000002800ff |
|
VISUAL
dHash
|
a0ddccc4ccc9aacc |
|
VISUAL
wHash
|
ff006066467c24ff |
|
VISUAL
colorHash
|
0a000030001 |
|
VISUAL
cropResistant
|
060018c5c7d2004e,4585858383b6b2a2,88808c8c8088e4d4,0084012e2e2e0184,5ddccccec8e9aec8 |
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 65 techniques to evade detection by security scanners and make reverse engineering more difficult.