Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8235B726722B8B883DB91EEF7382D56B2D2549DF8C74410B5C95ACD23C3C816293BB4 |
|
CONTENT
ssdeep
|
768:aCg3mjP+EsZx8/G8qRF4QdDatVM7BctBM7BwwZUcix+y9dQpUDF1E56ITmHDLBAz:ad2r+EsZ/8cOQdDatVM7BctBM7BwwZUA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ebbc91c4c5b491c5 |
|
VISUAL
aHash
|
81818181a1818181 |
|
VISUAL
dHash
|
6971714d45554941 |
|
VISUAL
wHash
|
ff818181bdb981b9 |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
6971714d45554941,687031ccc490c0c0 |
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.