Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T173631B9D3844701A476740E390BF2ACEF7391C2FB91C15E1A4B0CBA572B85F5616BB8B |
|
CONTENT
ssdeep
|
768:byWuPWLyuB/5sL/H/XT5K9QzRFCtR58n+DcNwG11SLxsX8U69Xal0JomomYo9TiD:j7DyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f56504253396f0f |
|
VISUAL
aHash
|
00fe0f0f3fff1fff |
|
VISUAL
dHash
|
cc607b5870c83130 |
|
VISUAL
wHash
|
00fc0f071fff007e |
|
VISUAL
colorHash
|
07030000200 |
|
VISUAL
cropResistant
|
cc607b5870c83130,4545239884645945 |
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 701 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)