Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8533378234215BB41C7DBF5F7E16B6BE2B8C349CA27C959A2E8C3861B87C158E41770 |
|
CONTENT
ssdeep
|
768:5/a/LjqOMPAc8fA5zFlLSo1VFth15g+dx0SA7f:s/3MPAYP1VFzTg+2f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8eb324c96471de36 |
|
VISUAL
aHash
|
430f0f80383c1810 |
|
VISUAL
dHash
|
cfdf6d2363707323 |
|
VISUAL
wHash
|
670f3fb9b83c3810 |
|
VISUAL
colorHash
|
021c0000000 |
|
VISUAL
cropResistant
|
4d49b2c292921311,36e5e42665a5c55a,8280405713408082,cfdf6d2363707323 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.