Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16EE2C627C149623303B355C0F32EA79BA28580DEC71A1BD475ED81ACDBE7E9290B3497 |
|
CONTENT
ssdeep
|
768:2fEGzgWODFOWLxzixU/yXug2UpHwNk3gEAGhXKLPmQ:IEGkLLY5Xr2UpHwK3g3GFMPmQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7693232cdcf3330 |
|
VISUAL
aHash
|
3c3c2038043c3c3c |
|
VISUAL
dHash
|
d8e0c860fcecc0e0 |
|
VISUAL
wHash
|
7c3c2c3c043c7c3c |
|
VISUAL
colorHash
|
33000008007 |
|
VISUAL
cropResistant
|
d8e0c860fcecc0e0 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)