Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T105036361F175642F333707C8619B7766A0AA934CDBCA2494A7B847F44EEBC53BA1600F |
|
CONTENT
ssdeep
|
768:5i71gQBZjTNWN3ljwV1H+0Qf/ZCpJPDQI7r3p9vK3+tKEwe78u:OZnNWN3ljwV1eH/ZCpNDfbp9K3+tKEdJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6892cb6c36c949 |
|
VISUAL
aHash
|
fdfb9983939bffff |
|
VISUAL
dHash
|
6133333732322d13 |
|
VISUAL
wHash
|
f9f98981939b8199 |
|
VISUAL
colorHash
|
07000000648 |
|
VISUAL
cropResistant
|
6133333732322d13,b4d5743e3926039f,2737331b030d0703 |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.