Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3D252B38556D93F0253C3D46324BE58A3C38309DBD85580F6EC174FAFA2D52BC296A9 |
|
CONTENT
ssdeep
|
192:uIUz2U05LYknBRb4GCdYtZglVWDDIgV0BGZO5ycVjzzN8QLi1DIxV0a:uD05vnBoOtGWDII0SeXprLGDIP0a |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3c5d832c7c532c6 |
|
VISUAL
aHash
|
e68fffe1c387dfff |
|
VISUAL
dHash
|
0e3b2c6b0f1c3a0e |
|
VISUAL
wHash
|
868be7a187878bc3 |
|
VISUAL
colorHash
|
07002200600 |
|
VISUAL
cropResistant
|
0e3b2c6b0f1c3a0e,b058d9c9c3d65c2d |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)