Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11B234B726322B8A843DB91EEF7382D46B2D6589DF8C74450F5C95A8D23C3C816297BF4 |
|
CONTENT
ssdeep
|
768:ab+EsZx8/G8A4vDattMRBMt0MRBSUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvtAf:ab+EsZ/8jvDattMRBMt0MRBSUXx+y9dD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8303f8fc2423e5e7 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
e9f1c94de1004000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
0b006000040 |
|
VISUAL
cropResistant
|
00000c0c0c0800df,4000000000000000,edf1f1e1c9cdcdf1 |
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)