Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F9125543121C0669C2F248895C4026D4F146E6CFC964C6B0D7B84D7B1FEAED6B2E6A7F |
|
CONTENT
ssdeep
|
192:YxTfO6sagHwHjbp1jJN9gEPDvjw6miPaQ2X8Yh9+hC45onZO26:hHwZYdQbeghx445 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6c6c9393988d93 |
|
VISUAL
aHash
|
d3c1d3d3fffffcfe |
|
VISUAL
dHash
|
2727263600050101 |
|
VISUAL
wHash
|
81818181f3fcfcfc |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
2727263600050101,214539cce868c2d2 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)