Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13254C878332C3E6D605B87E4F3A5B759222D6255FC0BD0A892BCA57163CBCC5B837984 |
|
CONTENT
ssdeep
|
1536:f1c17zGGGZEGGGZ9GGGZ6GGGZLGGGZ9GGGZ1GGGZRbGGGZiGGGZgGGGZPbGGGZ0R:f21p1PQjxXx0MujgDna+vxfjc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
999966664cccd933 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
4cc832b2b2324c4c |
|
VISUAL
wHash
|
66667c7e7c3e2600 |
|
VISUAL
colorHash
|
0e000000006 |
|
VISUAL
cropResistant
|
4cc832b2b2324c4c |
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 81 techniques to evade detection by security scanners and make reverse engineering more difficult.