Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CC334A736722B87C83CB81DDBB382E45B2D1A49DE9870450F5996AED23C3C817187BB4 |
|
CONTENT
ssdeep
|
1536:aB+EsZ/8Oe1OyDTEe+wSMDBmw+MDBoUXx+y9dQyDF1ZAU84HaX0u:aOZzwawYUXxpDzHy0u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8368d8f8f0c3f8e4 |
|
VISUAL
aHash
|
3f0025270f3f3f3f |
|
VISUAL
dHash
|
e9e9edcdddfdedfd |
|
VISUAL
wHash
|
3f0001250f3f3f3f |
|
VISUAL
colorHash
|
00003000180 |
|
VISUAL
cropResistant
|
00000c0c0091ffff,f9e9edcdddfde9fd |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)