Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111C2A531B040263F51A3D3C9B321F32EA6D39389D68A491552F8D3DD8BD7E90DE2352A |
|
CONTENT
ssdeep
|
384:jPe/y5NGNF9Vp2Rg5WPMq+M5T/ZT8B93l03WNIYsOy2+y9BH4cCUIe:Te/y5NGpV0T/5t47sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367fc389929c383 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
0c4ccccacccda300 |
|
VISUAL
wHash
|
80eef6202400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,940ccccecacccde3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)