Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F6E2B6319109783F16ABB3D0E771A35AB2D682CDE943132642FD878D5BDFC90EE06496 |
|
CONTENT
ssdeep
|
768:fi611HUIIPaIIIIIntzSi3hm6BTDe4yrmHYg1Pfy2l0tQ9bdM8i9wy:6IIyIIIII/BNyovx4qg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e35c1c3963c69a |
|
VISUAL
aHash
|
00e1e7e77f3c3818 |
|
VISUAL
dHash
|
87c7cfcbd9e5e3f0 |
|
VISUAL
wHash
|
00e1e7e77f3c3818 |
|
VISUAL
colorHash
|
31030000000 |
|
VISUAL
cropResistant
|
f363d3ca8d988c8c,0000606161600000,87c7cfcbd9e5e3f0 |
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)