Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B5235B72A332B87843DB92DEE7392E45B2D69489F8C74554F1C95ACD23C3C802297BB4 |
|
CONTENT
ssdeep
|
768:a/+EsZx8/G8BjEBDVSdMiBMSRMiBGUuix+y9dQpUDF1E56ITmHx3naOhqePqDvrq:a/+EsZ/85IDVSdMiBMSRMiBGUxx+y9dT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb956ac295c5c495 |
|
VISUAL
aHash
|
f1818f8f8f818181 |
|
VISUAL
dHash
|
03595b5b59494911 |
|
VISUAL
wHash
|
ff818f8f8fa18181 |
|
VISUAL
colorHash
|
33c00600000 |
|
VISUAL
cropResistant
|
03595b5b59494911,fef9f9e1f0e6e4e9,343038383cbc9899,219a9a9adac81aa8 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)