Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13E51A518B1500DBEA487C7B4F399BF7A189CC34BC69B5199E6E8C07977C2C35DD022A0 |
|
CONTENT
ssdeep
|
48:THuhr7Plp1ZcY/E+hFlbKVDXPp4kuENcWK6oHSENcWKXnF/Y7:TOV7frTO9XPp4kuqDHnF/W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d94c662399cc66d9 |
|
VISUAL
aHash
|
000098f8f8e4f8fc |
|
VISUAL
dHash
|
00003232320c1000 |
|
VISUAL
wHash
|
8080d8f8f8e0fcfe |
|
VISUAL
colorHash
|
070b0000000 |
|
VISUAL
cropResistant
|
00003232320c1000 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)