Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A3235A726322B86843DB91DEF73C2D46B2D5589DF8C74454F5C9AA8E23C3C816293BB4 |
|
CONTENT
ssdeep
|
768:axuO+EsZx8/G8r4QHDatnMmByttMmBMUcix+y9dQpUDF1E56ITmHDLBABW8KPqD1:axuO+EsZ/8EQHDatnMmByttMmBMUXx+j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8303fcfc3825e5e1 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
f9f9cde9d8000000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06003600000 |
|
VISUAL
cropResistant
|
00000c0c0c0c00ff,4000000000000000,fdf9fdcdcdfdcdf9 |
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)