Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14043FAF93854B5521B7291D3B0AF3A4BB33A246F780C55A07164CEE970F84A9507BF8E |
|
CONTENT
ssdeep
|
768:byWuP5yLuLW//uMRWXbz8vL8n+UsfM15/FijwqqBSDC9CVaSx11X8UYzuGzpd6Fv:P0s2yOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f56504253396f0f |
|
VISUAL
aHash
|
00fe0f0f3fff1fff |
|
VISUAL
dHash
|
cc607b5870c83134 |
|
VISUAL
wHash
|
00fc0f071fff007e |
|
VISUAL
colorHash
|
07030000200 |
|
VISUAL
cropResistant
|
cc607b5870c83134,45452398c4644545 |
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 693 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)