Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15B51FE3010468D3785C386E8A3F4272E71C3C656CA076A0AD3F49B8D8FE7E85EE35694 |
|
CONTENT
ssdeep
|
48:qMggcniZg7cniZgEJEYX21PTAIDvUq/zMwotk+0MEH+C4ATehxc:c774E8l8IDUq/zF+WV6g |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cab6a54d392a5669 |
|
VISUAL
aHash
|
f8f8f8d8f8f8f8f8 |
|
VISUAL
dHash
|
3301311111111313 |
|
VISUAL
wHash
|
98f8d888c8f8f8f8 |
|
VISUAL
colorHash
|
06002000180 |
|
VISUAL
cropResistant
|
3301311111111313,86775b1d29498a83,6115093b33272d2f |
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)