Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T177A2C5316050DD3F406B96E8B3A5E7261397E386C606174582FDC3FE4BE6C84EE36994 |
|
CONTENT
ssdeep
|
384:oD7ant7ggBhVcpkMtS9fmlX33Ghc1czg5sQ:c7anthBhVcpkMYs2hoWSH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc9e49c24fa2619b |
|
VISUAL
aHash
|
f89b8393dfc3ebc8 |
|
VISUAL
dHash
|
6936372632869b92 |
|
VISUAL
wHash
|
b88a8397dfc3cb08 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
6936372632869b92 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.