Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16EF2C531E046793F16ABB3C1E775A35AA2E586CEE943033582FD874C5BCECD0AD06856 |
|
CONTENT
ssdeep
|
384:7bntIIKo9mIIIII9/lBrmOkKH+JT1QuB/Sii8f3Ma1NlmyOZSUdqGsuOpW:tIIaIIIIIVrETTBjMa1NCYI9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e35c1c3963c69a |
|
VISUAL
aHash
|
00e1e7e77f3c3818 |
|
VISUAL
dHash
|
87c7cfcbd9e5e3f0 |
|
VISUAL
wHash
|
00e1e7e77f3c3818 |
|
VISUAL
colorHash
|
31030000000 |
|
VISUAL
cropResistant
|
f363d3ca8d988c8c,0000606161600000,87c7cfcbd9e5e3f0 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)