Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T114639934E1500A3304C392C4EBF7672F51A5D729CE230EAE97F8831A6B9BD989F15935 |
|
CONTENT
ssdeep
|
1536:GAY9swBa+5YhlAOfEA3T6qg+3OiaGnnRylwieO3jGWQZ+oG4F:+aJ66v8oGy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9d4267191d50bf1 |
|
VISUAL
aHash
|
40003c7e7e182001 |
|
VISUAL
dHash
|
9ce4f1f0f8f9e025 |
|
VISUAL
wHash
|
4e347c7e7e3c3801 |
|
VISUAL
colorHash
|
180060000c0 |
|
VISUAL
cropResistant
|
4a56747666a5da9a,2d0d6e8c8c9b9c9c,9ce4f1f0f8f9e025 |
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 65 techniques to evade detection by security scanners and make reverse engineering more difficult.