Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12AE28431A009AD3F0697A3D1EBA5A76BB396838DC947472942FCC7584FEBC90DE064D1 |
|
CONTENT
ssdeep
|
384:S3IItkSVQhIIIII9ilBHI/hP21m8SEJL9vMis6XC1ZeyfeskbpGpW:EIItk5hIIIIIVJudSwRs6XqZvfJkbpB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7e3713c1c1963c6 |
|
VISUAL
aHash
|
00e1ffff7f181800 |
|
VISUAL
dHash
|
c7c7cbb3e5f3f0f0 |
|
VISUAL
wHash
|
00e1ffff7f181810 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
f3e3d3ca9d888c8c,0000706969200000,c7c7cbb3e5f3f0f0 |
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)