Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10B234B726332B87843DB92EEF7382956B2D6589DE8C74414F5C95ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:a5nC+EsZx8/G824QiDat2MmBmtnMmBoUcix+y9dQpUDF1E56ITmHDLBABW8KPqD1:a5nC+EsZ/8RQiDat2MmBmtnMmBoUXx+j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6e919dc5c09a98 |
|
VISUAL
aHash
|
ff8181a18181ffff |
|
VISUAL
dHash
|
6d4d6d4d67716100 |
|
VISUAL
wHash
|
ff8181818100ffff |
|
VISUAL
colorHash
|
07038008000 |
|
VISUAL
cropResistant
|
6d4d6d4d67716100,ceac6c6cbabeb060,40d2da9ba7d2d240,ecf1f1517d4c8826,fffff7f5d6fcdfdf |
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)