Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16813D93114D46F2B51A382C893116A4BD3D6C54DE27B5A59F5EAC31B2BC5ECCC82BF88 |
|
CONTENT
ssdeep
|
768:Vb9FeqdAQ1Pgk5ounBMD3HIoYxG+rfzplILZB3j9J5pZifnp2IxwzIx18XEJDe:leqL1Yk55BMD3Ii+rfzplIdJj9J5pZi0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
946bb894e2eb9487 |
|
VISUAL
aHash
|
ff000000367e5e46 |
|
VISUAL
dHash
|
7170c8d0ecacbc9c |
|
VISUAL
wHash
|
ff0000007e7e7e7e |
|
VISUAL
colorHash
|
02000000038 |
|
VISUAL
cropResistant
|
0001416363490006,d495d35233173574,84c4d0b4881e1c8c,9d614161372733b3,64682a643024270e,b6e0f0f8ddc79373,8989892b2b185371,33e0d8ececacdc9c |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)