Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ED730A9E2854601A472740E394BB2F89F7391C2FF91815E1A4B4C7E5B3EC8F5316AB4B |
|
CONTENT
ssdeep
|
768:ryWuuPWz11y/LC5/us1nUSCjwqv8n+qfMX9LQz//cFW5M6MRDZoMSnoX8U89KOIb:nuFyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9fd2d0c233f00f8d |
|
VISUAL
aHash
|
fcfe1f073f3fff0f |
|
VISUAL
dHash
|
cc607b1c78709070 |
|
VISUAL
wHash
|
7cfe1f070f1f2100 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
cc607b1c78709070,45452398c4e41145 |
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 695 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)