Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13723B53244C86B3B12D3A2C4A3909E4BD2EA8044F2BBC55AF5D6872F46C5D99CC3B75D |
|
CONTENT
ssdeep
|
768:5drfJeZ1hbfiqjNB8qp9aEB3pNuXYsdQMzfVY6tnOt3E76N0rTKgQc:5dDYhB8qpA2ZNuXYsdQMzfm6tnOMjrTb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
946bc8b6e8cbb486 |
|
VISUAL
aHash
|
ff00000006363676 |
|
VISUAL
dHash
|
71f0ccf0ecececec |
|
VISUAL
wHash
|
ff007c0016367e7e |
|
VISUAL
colorHash
|
02001000038 |
|
VISUAL
cropResistant
|
0001416363890002,84c4c0b4a00e1c88,f9e6dad9d9d9d94e,32d4c4ececececec,8e3369b0f070793f |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.