Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CEB2C8B118786A3B025BC7D5B6799F0EB2C3C20ACE87158593FD93AD4BD7C50E94A306 |
|
CONTENT
ssdeep
|
384:UCRmp6sZOstMH3InaatajOGdJ70Wds12XYMT:Ru6s+AaatiOsUYBT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1b84a8f6624cece |
|
VISUAL
aHash
|
cdcfdfc3ffffff00 |
|
VISUAL
dHash
|
1592b09e5868040d |
|
VISUAL
wHash
|
10cfdfc32c3ce300 |
|
VISUAL
colorHash
|
07000230000 |
|
VISUAL
cropResistant
|
1592b09e5868040d |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.