Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16E7365B612426A3F108382E2835CD799E3C6E609D7A7894AD7EC835B37C7DE0DD35264 |
|
CONTENT
ssdeep
|
1536:oWizLQbDc3vN0D2lteoyufcB0Bak9ZKvH0DxVuz8Gl:6yDCGufc2Bak3Kckl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d496f8 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
cccbccd0ccec238c |
|
VISUAL
wHash
|
00003c7e7effb1c3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
c8c8d4cccc234286,84cbe9cbc0c8dcd4,4561417971690141,00454d7171414541,0982636999abcb34 |
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)