Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T180D318F06394D3FA9442E3F8D7256ABA766364E9EA06C64CD3F40E44EA92C5D8C04DC7 |
|
CONTENT
ssdeep
|
1536:XDaKDj+UQ7Q9yH2RpX3n2YtqLXS1kFUk+kjEmXXXAdx8Vaegt:31gOtqUk/ob1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc9533cb3a68542f |
|
VISUAL
aHash
|
00fff2f0f8f0e000 |
|
VISUAL
dHash
|
8c6666a66140819c |
|
VISUAL
wHash
|
00fffaf2f8f8e000 |
|
VISUAL
colorHash
|
0e200c00000 |
|
VISUAL
cropResistant
|
cc666666a3616481,033ee08638143737,030e1c78e0808080,0354849c9c9454c6,41410181011c19b3,6666a5636081439c |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.