Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B2F3776302156A2E4437C3D0B6659B77D2B6D98BFAA34A404FDCC3B637EAC50B81B51C |
|
CONTENT
ssdeep
|
1536:HGYUgQmTa3MZo+Hd1+M0Q1jjC3leNC9L7jlOVNoXFIwRfmYTn8Sy8:HGYOQgb3IILnOoXFIQLy8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c61be4bb2f839324 |
|
VISUAL
aHash
|
fd1c1c3811bff3f3 |
|
VISUAL
dHash
|
19b4fcf1632a2727 |
|
VISUAL
wHash
|
fd1c0c1001b7f3f3 |
|
VISUAL
colorHash
|
07000180003 |
|
VISUAL
cropResistant
|
19b4fcf1632a2727,0000808880c80000 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.