Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T183234B726332B8A883DB91EEF7382D46B2D5589DB8C74414F5C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:at+EsZx8/G8O4DDatBMmBJottMmBJk7Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDS:at+EsZ/85DDatBMmB+ttMmB27UXx+y9T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8303fcfc3828f5e1 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
e9e9cdc1d1000000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
03007000000 |
|
VISUAL
cropResistant
|
00000c0c0c0800bf,4000000000000000,fde9e9c9cdcdc9d1 |
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)