Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18F7355771146A93F108382E28368E75AE38AD609C7A78D4BDBE8435B37C7DE0DD39164 |
|
CONTENT
ssdeep
|
1536:O92yajqDcQvO0FdIDextHxS0Y8kilK5Z0jxVuz85l:6VFwgHxpY8koKobl |
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
|
c8c8d4cccc236286,84cbc9cbc0c8dcd4,4561417971690141,00454d7171414541,2c92c36d9dac8b40 |
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)