Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BAD2C731E114273F029783C9F792F36AA2D3D24ADB86081592F9839D47EBD90FA1355B |
|
CONTENT
ssdeep
|
768:6vSky5N2g8EJjAQFwHERYhf8nBR7sOy2+y9BH4cLIe:zz1F9s8b7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e1439738980ff4ea |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
98c0c0c016060600 |
|
VISUAL
wHash
|
00e0f078c0c2ffff |
|
VISUAL
colorHash
|
07000180000 |
|
VISUAL
cropResistant
|
0280900458988000,9cc9c4c0c806060e |
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.