Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18951959460824D6B82926AF8F6E5FE1AB2C9C641C6537B0895F8C76E2BEFD40CD40264 |
|
CONTENT
ssdeep
|
48:OBu6lKWscjckDcKkRkkg0ZsG0Qy3VJHxcKWLKpKnIrZ1G50E9I4RgE4Qm1:muwLbveg0e7BlkKiQMiE9I4RgEa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dd99666666998c32 |
|
VISUAL
aHash
|
c0d8989818181800 |
|
VISUAL
dHash
|
043032323232300c |
|
VISUAL
wHash
|
f8f8f8f8d8d89880 |
|
VISUAL
colorHash
|
00000000e00 |
|
VISUAL
cropResistant
|
fa969edac833078a,043032323232300c |
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 57 techniques to evade detection by security scanners and make reverse engineering more difficult.