Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C2F141E1D454DD370B1282C5ABB67B2B77B1C309CB420E5493F893BA6BCACA1CB1159D |
|
CONTENT
ssdeep
|
96:Tk/aW4z8pDfST8htyt71Yyt7A7l70ZXkHlylXLE/TvoYl+AT431:Q/p4z8puohtynYy+xHQELvoG8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b870c7fcc7c700cc |
|
VISUAL
aHash
|
ffcfcfcfcfcfcf7f |
|
VISUAL
dHash
|
009c9c9a949414c0 |
|
VISUAL
wHash
|
fcc4c4c40f0f003f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
009c9c9a949414c0,080661610e200000 |
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 60 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)