Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3A2D83291402D3F925383CEB761FB2DA1E79288DB45180996FC678E8BD7E90DD2345B |
|
CONTENT
ssdeep
|
384:BmCy5Np4Ig8VNktzp/ZcRNeBzIIIRP4dncl/4DuSiZwXFfM1Z8Zc+2RIYsOy2+y5:ICy5NpOnCNeBzIIIZ4dncl/4DuSYCF0n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8229bd32d46dd6c3 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
9fd3cbe3cc0d1300 |
|
VISUAL
wHash
|
003771700407ffff |
|
VISUAL
colorHash
|
39600018000 |
|
VISUAL
cropResistant
|
ffffe96969fbffff,0080801858808000,8fd7cbc9e3cc4d33 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.