Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T164D2993662106A3741D3D1C673B1672A62E3438FE7860512A2FD87AD0BF7D14DE2771A |
|
CONTENT
ssdeep
|
768:wes9KlzCEX4dL+5s5nEkrimWrX7sOy2+y9BH4crIe:mFv5EjNrX7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d605b434ad35e5c6 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
94ccccc8c88c8c00 |
|
VISUAL
wHash
|
067c74206044ffff |
|
VISUAL
colorHash
|
31010001600 |
|
VISUAL
cropResistant
|
0880880458988000,d4ccccc8c8c88c8c |
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.