Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AD939B23422975274437C2C1347A5B3BD1E6D99FFAE70A010EECCBFA6AF9C90745A119 |
|
CONTENT
ssdeep
|
768:koL1EtpR4nXF6YjOpSpFlTC6rrrBGIT9ug+kO7Dp0JLj:k+1EtpR4nXBKpSpFl26vtvhugv5JLj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0e13f3ad9e4c625 |
|
VISUAL
aHash
|
40c8f0f87854002c |
|
VISUAL
dHash
|
9818c7c3d0ad6848 |
|
VISUAL
wHash
|
c0e8f0f8fc741c3c |
|
VISUAL
colorHash
|
30200050000 |
|
VISUAL
cropResistant
|
9818c7c3d0ad6848 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.