Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15CD29831B1106A3B02D7D2CDB361B31ED2E35249D64A055BA2FD93AD0BA3D54DE3362E |
|
CONTENT
ssdeep
|
768:8Scy5NsrM8RgiBYzGt3AN7sOy2+y9BH4crIe:kvf3AN7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363b43adc28d3e1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
14ccc2c2c8c9c300 |
|
VISUAL
wHash
|
00e7f1303004ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
008080024c888000,94cccec2e2c9c9c3 |
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)