Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16431127184C05C3BE3F3D258CFB2B75C6799869CC3C24D8876E155D947CDE51C4A6198 |
|
CONTENT
ssdeep
|
24:n9CYCECCXtvHg5mcIoAy4buxFs7aiP44O60F4RoTD83FVcyka:nxNHg5momaiHO6DWen |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a0909d50767f73e1 |
|
VISUAL
aHash
|
7e7f676766667b3f |
|
VISUAL
dHash
|
b8f1cccd8cccd3d3 |
|
VISUAL
wHash
|
7e3f676064647918 |
|
VISUAL
colorHash
|
03006008000 |
|
VISUAL
cropResistant
|
b8f1cccd8cccd3d3,90c8a9bc5c4c6c4c,a7183f4f65349483,4d4e4d4d2dcdcc2d,7e3d375b9bef6773 |
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 9195 techniques to evade detection by security scanners and make reverse engineering more difficult.