Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T194B2A835B0007A3B519B92DAF361672F92E3830EEB45062552FD83ED4BE7E14DE63429 |
|
CONTENT
ssdeep
|
384:bQ67ddiIRxmTSA6q3Nxy9I0+cT+ARss5v5x4IYsOy2+y9BH4cCUIe:867d2dC6qu7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c243dd3a9929b1b9 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c8ccccc8cccd8b00 |
|
VISUAL
wHash
|
0c7c60204465ffff |
|
VISUAL
colorHash
|
39038000200 |
|
VISUAL
cropResistant
|
0080800030b08000,d8ccccc8c8cccd8b |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.