Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11251E730C120251ED22387E999666A5C645B749DF9C1653CA2F8137073E8ED0D5B5C8F |
|
CONTENT
ssdeep
|
48:T3bBvb4BwYtIxLHTrM52i4SAfezMSFS62dwI0Cl:T1zYwYCLzA52i4n+FS6GWCl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9cd463289c297776 |
|
VISUAL
aHash
|
3dfee6df9f010100 |
|
VISUAL
dHash
|
69cc8c32332f8b49 |
|
VISUAL
wHash
|
bdfee69f9f010100 |
|
VISUAL
colorHash
|
00003200080 |
|
VISUAL
cropResistant
|
b86911d8dc25252c,69cc8c32332f8b49 |
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 161 techniques to evade detection by security scanners and make reverse engineering more difficult.