Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11373E9A9232356E4710353F0A950B6793766B3A5DE63CB9CC3F849705BCECEC9A05CA1 |
|
CONTENT
ssdeep
|
768:lKUyjnv+1awY4L/f1MV4a2u59fV2F1M7tMxu+5jkVUpSYLczbFTXSxDozsTYB2BD:EdjnvrwY4LnBkxvhzsTYB2BdivIh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fc23d29acd88633c |
|
VISUAL
aHash
|
ffc3c3fb83c39bde |
|
VISUAL
dHash
|
290e0e0236163230 |
|
VISUAL
wHash
|
8fe7c3c38183cbc8 |
|
VISUAL
colorHash
|
07602008000 |
|
VISUAL
cropResistant
|
290e0e0236163230 |
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 657 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)