Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19CE2B5319109B93F16ABB3D0E771E35A739682C9E943031A42FD878D4BDFC90EE06995 |
|
CONTENT
ssdeep
|
384:7bhvIIKz9mIIIII98lBrmm6UfuBaSii8B3VN0kIhUOiDU4q29uOpW:tIIhIIIIIswBWVN0kWerC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e35c1c1971c69e |
|
VISUAL
aHash
|
00e3e7ef3f3c1818 |
|
VISUAL
dHash
|
8fc7cfdbf1e1f0f0 |
|
VISUAL
wHash
|
00e3e7ef3f781818 |
|
VISUAL
colorHash
|
31030000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9c988c0c,0000606161600000,8fc7cfdbf1e1f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)