Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CFF34BB03595B4B7076747E2907B5106F239593B900E6860A3F4DCDAB3A8C4DA1E3FE6 |
|
CONTENT
ssdeep
|
1536:M8JD9x3lwF8Mu/TvSO0q8xwbOx8paPNY+apqdMQV2w9UOsrIMWvh0Dlz370+pXUR:S4oPI2RDX7A/l4C/YCNUQgvBb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d89f7425e4988bd2 |
|
VISUAL
aHash
|
5b183c3c18185874 |
|
VISUAL
dHash
|
b6f279f0f0f0b0a4 |
|
VISUAL
wHash
|
df083c3c3c187c7c |
|
VISUAL
colorHash
|
18000e00000 |
|
VISUAL
cropResistant
|
b6f279f0f0f0b0a4 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)