Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D4E2C4319015A93F1AA773D1E6B8A31E63D98389DA83071A41FDC74C8FEBCA0ED17195 |
|
CONTENT
ssdeep
|
384:/uHWAIIS4IIIII9LlBOlXJSwW5wtn25XCjlKII386yizactDaAwpW:rAIIpIIIIIQcwZGfN8f58r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e3731e183963c6 |
|
VISUAL
aHash
|
00e3ffdf7f181818 |
|
VISUAL
dHash
|
c7cfcf93e5f370f0 |
|
VISUAL
wHash
|
00e1ffdf7f181818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9d988c0c,0000607060000000,c7cfcf93e5f370f0 |
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)