Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0412D6FE024602B57930BF4BB61305C83CE317D86E38A8061BC88DDA7FC569087506E |
|
CONTENT
ssdeep
|
48:InFzHcCDPiA/H+ugztNuOyABTMNuJtNuvNu11Nui:qAWPiA/H/Y0OyEw0Jt0v0r0i |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b735c6469c9c66c4 |
|
VISUAL
aHash
|
37470707c3e3ffff |
|
VISUAL
dHash
|
668e1e3e1e4c2000 |
|
VISUAL
wHash
|
170707078300ffff |
|
VISUAL
colorHash
|
07002000440 |
|
VISUAL
cropResistant
|
668e1e3e1e4c2000 |
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)