Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132C2C972A4546C33126B83DAF166BB1A91D3D70DCE0716D1E5F893F90EDAC72FA12406 |
|
CONTENT
ssdeep
|
384:+vXq4MhI6iprGuwWCfkAQugq3luEFKa198mJgX3+UiEc1NoBlJq:+vXMhVWM5gqRFlLTWXdiEbq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9919373137359d91 |
|
VISUAL
aHash
|
00183c1c3c3c1800 |
|
VISUAL
dHash
|
163333333330300c |
|
VISUAL
wHash
|
00183c3c3c3e3f33 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
8c8c8cb2868e8686,163333333330300c |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.