Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17B9163B3A1059E27372382D5DB83B11C837342CAC6695D5092ED13DB59CEFB9E833146 |
|
CONTENT
ssdeep
|
48:TsX2JJj4NnMXy5jKlKnNaqg/KycAYrIdEhNQ4N3D1xMF51TN1TNbsTNeAdxcWP9H:T4qXcNnNuClx9sWnaWjf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
edaa962e1a496dd0 |
|
VISUAL
aHash
|
fffff9999931fafe |
|
VISUAL
dHash
|
0522437373731240 |
|
VISUAL
wHash
|
fcfb31191131307e |
|
VISUAL
colorHash
|
07007000080 |
|
VISUAL
cropResistant
|
0522437373731240,47cb05870637346e |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)