Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15E73527602426E3F118382E59318E35AD387F609C7A7498AD7EC836B27C6DE1ED39174 |
|
CONTENT
ssdeep
|
1536:OW8hJY5DcNi0514fl6UkyX0iCGctrH80zxVuz8MX:058gCorjWX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d696b8 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
cc93ccd0cccc23cc |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc238c0e,848bf393c8c8dcd4,4561417971690141,00454d7171414541,15aa6a158f95a56e |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)