Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13CF286712240373F16935AF1B710BB99919FC309DA9BC96AF2EC83D627E5CA5CB12344 |
|
CONTENT
ssdeep
|
768:V91L66Q0BrlvkjCL3zwkCL31oCL35UCLR9UCLRhUCLRA3CLR03CLRL3CLRGjpFcQ:cj1ZVjpGSbj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9442a335ec78f54d |
|
VISUAL
aHash
|
002c7c3c3a0200ff |
|
VISUAL
dHash
|
c4ccf8b0f076d6cc |
|
VISUAL
wHash
|
003c7c7c3e1e02ff |
|
VISUAL
colorHash
|
13c00000000 |
|
VISUAL
cropResistant
|
9c8c9432994928f0,21a280aea6808090,a400001101100c0c,c4cce8b870f67ed6 |
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 51 techniques to evade detection by security scanners and make reverse engineering more difficult.