Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179626033E200D92A4E9B55CCF2D4AA09445EC305FB6189CA72B082FFBBD4DF4699539D |
|
CONTENT
ssdeep
|
192:j8W69cEczdoHyU8tyiVs13qMeImJix79FI5NYMcnthWeNWb3fMmUU8VCowDX:oWOcEczpVW3IvO9SbfMmUFCowDX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b309f4267799d922 |
|
VISUAL
aHash
|
e7003c3c24e7e7ff |
|
VISUAL
dHash
|
4c4c3828690c0d28 |
|
VISUAL
wHash
|
e3203c3c2403e7ff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
4c4c3828690c0d28 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)