Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19853082116816A2F29D353E0A760EB45AB46F340D35B874DA3FC824B7BDAD31FC652B4 |
|
CONTENT
ssdeep
|
768:+nf9++qbJVdN0VXeKN0kyZzXN0aMirGFLxdiKju3cN0RfMDqCsR:VJp0NZ0kyH03MGFLfpiy0+BsR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b246b9ec1b39cd11 |
|
VISUAL
aHash
|
0000200004ffcfcf |
|
VISUAL
dHash
|
a8cdccc8cc3e1f3b |
|
VISUAL
wHash
|
0064740466ffcfcf |
|
VISUAL
colorHash
|
3220000000e |
|
VISUAL
cropResistant
|
18063f1e3b3b3b3b,b8e5cdc8c4c8cccc,0100000000000000 |
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.