Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T173634CF7F880ED118577C1A2E05B786373B8322BB55D0960EE99DE9FF0A04985167ACC |
|
CONTENT
ssdeep
|
768:rZUKT0TQH7YFQQjj7L16ati7vcTHQu0KUbv7QoVzc+b42NB2jIGrTnzq8QE12OlL:rCXj3x6FQTHQQdMzQ2N0msQw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c69675383417c5cd |
|
VISUAL
aHash
|
02047e3e0c3c0062 |
|
VISUAL
dHash
|
94ccc4ccece059ca |
|
VISUAL
wHash
|
02267e3e3e7c287a |
|
VISUAL
colorHash
|
06440030000 |
|
VISUAL
cropResistant
|
8280004c0c080000,94ccc4ccece059ca |
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.