Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15701206194508D2B022748D0CEC4F60C15879318DA160940F7FC30DE1FE9E95CE4B1B0 |
|
CONTENT
ssdeep
|
12:hFTMy7FVqoGEuechRJi9ST4cAZzlvTp4aoJDJlQENAuErV5:hWCeioRJKfzcFNJBYZ5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8cb633999c269d99 |
|
VISUAL
aHash
|
0700181818180000 |
|
VISUAL
dHash
|
0c08303232320c10 |
|
VISUAL
wHash
|
0f071b1b18184080 |
|
VISUAL
colorHash
|
38000e00000 |
|
VISUAL
cropResistant
|
0c08303232320c10 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.