Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138111F2490448D5B0581A6D86F75198AE686CB81CE175F1D3AFCDA3D1EE9D0ECC641E0 |
|
CONTENT
ssdeep
|
12:hRmzuY2oKj0hSRcBcDkQfCfj7nFhBbFEvSe+LF58sfDtWyhvpER1Zna4p:hRmz12tDRceDkQfC77nXSGHhaFvp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
989373cccc73025f |
|
VISUAL
aHash
|
ffff3c3c3c180000 |
|
VISUAL
dHash
|
f0f8f8f171f1deb2 |
|
VISUAL
wHash
|
ffff3f3c3c180000 |
|
VISUAL
colorHash
|
13600010000 |
|
VISUAL
cropResistant
|
e0e0f0f0f0f0f070,aac0c2b2f2a089a0,f0f8f8f171f1deb2 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)