Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FDF173B2A0407936039341E6B632669FE393D6C6CBA31741A6F0C32A1FF3EB5DD25155 |
|
CONTENT
ssdeep
|
192:omeqTIZshzsOYtgoJQO2sXSCinMShnGMSn1bGsouQoea+NEoeaJvWMSgSv:omeqSROYRaO2MSFtSpGLGuNDddSjv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9eb81c1ebc1e38ac |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
3c00000002696906 |
|
VISUAL
wHash
|
87ffffff3c000000 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
3c30000000000000,2806696961620800 |
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)