Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1848251709210EC37629295E6A77A971A73D2C149CB234B42D3F6D31FABD7E42CC6224D |
|
CONTENT
ssdeep
|
192:G62i/J9Jt1d16aymZ48qymZJnvZymZjYpymZzHgjymZ8VH0TymZr3uymZmEhymZN:2iH1cI9CQEFmKcxJGPj80X+5M6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e536c699988e6596 |
|
VISUAL
aHash
|
e7e7e7c3c3c3ffc3 |
|
VISUAL
dHash
|
0d4d4d1616160a86 |
|
VISUAL
wHash
|
80e7c3c3c3c3e3c3 |
|
VISUAL
colorHash
|
07000010180 |
|
VISUAL
cropResistant
|
0d4d4d1616160a86 |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)