Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A673D79A2494202A472740E354BB2B9AF7791C3FF52805E1A4B8C7F572EC8F53166F4B |
|
CONTENT
ssdeep
|
768:MyWuvWPLsyu/uMRW8S5/qBcNwGtLDZC/Fv9H11IMXMzS8n+RUlx5SLbcfF/UX8Uz:Y8dWTjhyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f557454410f3e78 |
|
VISUAL
aHash
|
00fe1f3f7fbfbfff |
|
VISUAL
dHash
|
a864637070647424 |
|
VISUAL
wHash
|
001e1f1f1f1f02f7 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
8860617090647464,00025c6961791946,45453b9cc46b5145 |
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 700 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)