Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F404FBF02224569C404347FDEF3BA6D6232FA1F9B7D68590AAEC8FA4A5D3CD4D943580 |
|
CONTENT
ssdeep
|
3072:OJWN+BBBTNblp8ThyHP/Ncg5wABvfjrJPYcBqtf:UWNeNcg5wABvfjrJPYcBqtf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9c916344f3436cb |
|
VISUAL
aHash
|
00f9f9f9f9c3c700 |
|
VISUAL
dHash
|
63033b13c31f1e64 |
|
VISUAL
wHash
|
00f9e9f9f9c3c700 |
|
VISUAL
colorHash
|
0f000030000 |
|
VISUAL
cropResistant
|
830b3b93c31b1f33,00c21b23235b4300,73ccb68e61138733,8b9a9293111a9fdd,0b5414f4f5144403 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.