Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F9C2A9317100663B42C7D3DDB761A32E92A3934AD7860C1692F983AD4FE7D64DA3325A |
|
CONTENT
ssdeep
|
384:/Scy5NvMp63ZIZp5Z9C+sEM7rLQQWZQs+OkTXv2NIqnbIYsOy2+y9BH4cCUIe:/Scy5NvT4hNSwkTfW7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363b43adc28d1e3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1ccccac2c8cde100 |
|
VISUAL
wHash
|
00f7f2302004ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
008080024c888000,948ccec2e0c8cde1 |
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.
Pages with identical visual appearance (based on perceptual hash)