Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12133E7302310B7AE5C730F74B74A70AAC1DEC389E6E6A5ADB255C31574D303AC756CAA |
|
CONTENT
ssdeep
|
1536:2mz0wA3wnH+bR26o3E4tKjUSrqDZ7U1c/ITKBH:n7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e1619e9e9a316565 |
|
VISUAL
aHash
|
ffc3c3c3efffffff |
|
VISUAL
dHash
|
0d8e969616021060 |
|
VISUAL
wHash
|
00c30303c3c3ff9f |
|
VISUAL
colorHash
|
07000400048 |
|
VISUAL
cropResistant
|
0d8e969616021060,a20dd3f3dbf7b7cc |
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 428 techniques to evade detection by security scanners and make reverse engineering more difficult.