Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17023B63118C47F2B86A342C9E3109E4FF3958284E2B6CA5BE1E6871F56C5D44CC36E9C |
|
CONTENT
ssdeep
|
768:Jc8XVKh2Vbu0Qv41O+5OVuNqyxnO/+8f0uS6WR+Nwq54LckZjmBUEJ1T:XVKhObu0QA84NqiO/+0xFByjZjm6EJ1T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9416ebea4bcaca94 |
|
VISUAL
aHash
|
fd06060606fffffb |
|
VISUAL
dHash
|
71ccecccec3c3333 |
|
VISUAL
wHash
|
fd060606060efff9 |
|
VISUAL
colorHash
|
0e000000180 |
|
VISUAL
cropResistant
|
00018961618901a2,96d6e8b294710f8e,c0303c2933137333,ccccecccccececec,5b2fc6cec6c647d7 |
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.