Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12523E7206300B65D68330FB4B35A70A6D1DE9388F5D2BC2EB668935574E213AC746DFE |
|
CONTENT
ssdeep
|
1536:2mg0wA3cnH+crzXXRVO6o3E4tCXdzySpqDZ7U1c/I+LhBV:SrzXHVNMFN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e5649a9b1b2d8e26 |
|
VISUAL
aHash
|
ffc3c3c3c3ffffff |
|
VISUAL
dHash
|
7186969696000660 |
|
VISUAL
wHash
|
00c3c3c3c0fcfc9c |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
7186969696000660,d8c9c2e4e4652620 |
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 428 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)