Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T140B2B72FE34423390B560151FB8A3BE6C37B4078235549A9581DD12E637A79FC2BB2E9 |
|
CONTENT
ssdeep
|
384:5ch/LOkZ50+ZQiafHm8sZ1dcC1zB7eW4Vk7JE1WjPcsZuc/ofFEjnZHBKMNqm0CE:5chnZ9afHtg1jNZe7Yq1WjPcGuceuNBE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b434cfcbcb8a3434 |
|
VISUAL
aHash
|
ff0000ffffffffff |
|
VISUAL
dHash
|
2094963b0c0e0c0c |
|
VISUAL
wHash
|
9f000005e7e7e7e7 |
|
VISUAL
colorHash
|
07c00040000 |
|
VISUAL
cropResistant
|
2094963b0c0e0c0c,67677e6df9f9fcbe,1b30153535311175,1b1b0f0545414101 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)