Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10CE3E860E254137D451B87C9F920BD6D332F729FB586CEA8413D8EE04EE7CA8E8558C6 |
|
CONTENT
ssdeep
|
1536:2gVCS3O5hGC81TiXWNjPsyxv8K0q3jToJj+KmJcpjrm0OabUVI4FPV7WhWBKw:2V81TiXKxjWE0DhQJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8cf27d2d31c1279c |
|
VISUAL
aHash
|
003c3c7e3e3c3c00 |
|
VISUAL
dHash
|
62e0e0d8f068f0d4 |
|
VISUAL
wHash
|
023c7e7e3f3e3c00 |
|
VISUAL
colorHash
|
38000030000 |
|
VISUAL
cropResistant
|
62e0e0d8f068f0d4 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.