Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B2B3E176F5105F17006793D8DF92A76B13718B04EA4A0E8512ACC27F29EFDA4CC5A2B9 |
|
CONTENT
ssdeep
|
1536:WM0rXi1XprXeLusVarM+Lf5Cp3qMqXowtx7Hq0wFDb5HV7Q1Td/+1AvEF:y+1XILMLhS87KPH561F+X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbc33c72762c5728 |
|
VISUAL
aHash
|
383c3c3c3c3c0101 |
|
VISUAL
dHash
|
c9c9e9e1c9c9b36b |
|
VISUAL
wHash
|
3c7c7c7c7c7c0301 |
|
VISUAL
colorHash
|
07000010180 |
|
VISUAL
cropResistant
|
938b86c683519b92,e81696ca962a3ab2,c9c9e9e1c9c9b36b,2912929219872828,387096081a1a1a1a |
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)