Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12BE2B8766000773F029392C6B3D1E75E63E2834ED34A0516A2FD876C4BE7E51E917B1A |
|
CONTENT
ssdeep
|
768:le9qV7KHSDJcNYWX4eAmv7sOy2+y9BH4crIe:oqf6KS7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c340f932bd6d94e1 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
98c8c4c0cc0cc300 |
|
VISUAL
wHash
|
006470303e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04200c86860c3004,0080800058988000,d888ccc4c8cc3cc3 |
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.