Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12A0330A1A059953B25769BD5F3A2E75EFA404086C8D2425ED0F5E35C3FF3D72EC0A205 |
|
CONTENT
ssdeep
|
384:DkFCpAohvF4pmyoge6pKhOAPzpGEIKIZpu5kNp50ZpoIBLbhal:DuYvFa7ogeooOAPFtIKI3Bp503Nbhal |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
de7e6961617c1e80 |
|
VISUAL
aHash
|
80809c9cffffffff |
|
VISUAL
dHash
|
1b38303430383838 |
|
VISUAL
wHash
|
80809c9c9ebe9e9e |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
1b38303430383838 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.