Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17C8185B1729489BF205382E5B375B32A75C4C39AE507D205ABFDD39D2BD7C01EC12120 |
|
CONTENT
ssdeep
|
96:T/ZIHtmpanUOVcYnIcO0cWA5lhlc60n8aTzp:LZiBGYIvWKn8p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b83886c7c76d6938 |
|
VISUAL
aHash
|
ffcfc3c3ffffffff |
|
VISUAL
dHash
|
2294969629020000 |
|
VISUAL
wHash
|
dfc3c1c381e7fc00 |
|
VISUAL
colorHash
|
07c00018000 |
|
VISUAL
cropResistant
|
2294969629020000 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)