Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T197331DA97955B0164B7340E3A0BF394AB33D182F780C55A0A164DFD975BC4B9602BF8F |
|
CONTENT
ssdeep
|
768:1yWuPU+dT/5CL/WyuzXt1sLq19x8n+zX8Uv984TziB1friVTEmbY8tX+lny4lSxM:BXluhDUSOQ3yOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b322ce26cd99cccc |
|
VISUAL
aHash
|
c7c7c7c7c3c7c7e7 |
|
VISUAL
dHash
|
0c1e0e1e0e0c1c1c |
|
VISUAL
wHash
|
c7c3c3c3c3c3c3c2 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
0c1e0e1e0e0c1c1c |
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 477 techniques to evade detection by security scanners and make reverse engineering more difficult.