Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11D12EF35705D1158316678E3E0F632A6BB2B167E7E8718F07462DE1AC2EC26FF072964 |
|
CONTENT
ssdeep
|
96:7xgoenYMGGNlvCsl7pR6MqkDZX5ISns080rEHirEiXBmVDr7PBnsHtILXPu:FgVnYWDJ5Zs082EHYEqaDP9sH6L/u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9c1963cc3693c96 |
|
VISUAL
aHash
|
ffff81c18181c3ff |
|
VISUAL
dHash
|
02330f13130f3700 |
|
VISUAL
wHash
|
ffc381818181c3ff |
|
VISUAL
colorHash
|
17030000080 |
|
VISUAL
cropResistant
|
02330f13130f3700,e20b0733330f3737 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)