Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AD234B726322B87883CB92EEF7382945B2D6589DF8C74414F5C99ACD23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:a5+EsZx8/G8x4aDawBMDB9owDMDB9kwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqf:a5+EsZ/8iaDawBMDBKwDMDB6wZUXx+y6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb2e3e3a3a86c4c1 |
|
VISUAL
aHash
|
0081ffffffffffff |
|
VISUAL
dHash
|
71510c4d5f5f5d5d |
|
VISUAL
wHash
|
0000a3e7e3e3e7e7 |
|
VISUAL
colorHash
|
07007000080 |
|
VISUAL
cropResistant
|
71510c4d5f5f5d5d,300c32324c32320c |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.