Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T165D31BEC7D4556A5DFD243C62087064B337C592F700A89B19244DFBA392CDAE583BBCA |
|
CONTENT
ssdeep
|
1536:N4bSjJiF9IvX13MHfyAyFQKZbrrg4tC2RB7I0hGn3yw4oPIG/lluKoSsSWy8BfYU:nRQOVRBXhG3yI53ussSWy8Bfbf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1399966cc99cccc |
|
VISUAL
aHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
dHash
|
8e8e969e8e8e8e96 |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07000011010 |
|
VISUAL
cropResistant
|
0202020202020202,a0a0a0a0a0a0a0a0,26275d13130f1e32 |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.