Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DD335B726732B4B883DB91DDF73C2E46B2D2958EE9C74690B5C95A8D13C3C806187BB4 |
|
CONTENT
ssdeep
|
1536:a2+EsZ/8leBOYDawHMYBDwMMYBnN2/y9dGXDiJZBlvy40hxwfwH:aDCzwDwCN2aDSw0Ea |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b7c91ec9e0a476e0 |
|
VISUAL
aHash
|
0f0f070f6f0f0f07 |
|
VISUAL
dHash
|
78792cbe8e79782c |
|
VISUAL
wHash
|
8f0f070f4f0f0f07 |
|
VISUAL
colorHash
|
03e00000000 |
|
VISUAL
cropResistant
|
78792cbe8e79782c,454d3188c8714545,414d5539c8594545 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)