Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8F29331909A693F05A762C2E3B5E35BA2D143CDE947472A43FD838D4BCEC90ED178A5 |
|
CONTENT
ssdeep
|
384:Y7fIIViAIIIII9klBVKQH+JT7rM1/l+YY2RZslEKkOh2fbpW:CfIIhIIIIIGET7o1/cN2RZslE2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e35c1c1971c69e |
|
VISUAL
aHash
|
00e1e7eb7f3c1818 |
|
VISUAL
dHash
|
c7c7cfdbf5e5f0f0 |
|
VISUAL
wHash
|
00e1e7ef7f3c1818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ca9d988c0c,0002e4ccc4400000,c7c7cfdbf5e5f0f0 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)