Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CA820D319511AA3B21C3A2E0B6B5570F7393C34ADF230A0567F8C39D5FDADAACD12295 |
|
CONTENT
ssdeep
|
192:CCHfE0KZWoA5izgMyMdiFgGj+hNIsp4zVY7pFuhO2hdXopLTMOBB3:CiQWow+Lb4QXsO2P4pLTMq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d394c0c56fb2896e |
|
VISUAL
aHash
|
7e3e1c0ca078fce0 |
|
VISUAL
dHash
|
f8f0fc3d695ac801 |
|
VISUAL
wHash
|
7f1e1c0ca0f8fce0 |
|
VISUAL
colorHash
|
06407000000 |
|
VISUAL
cropResistant
|
fefeb2b4b6b6d4c4,e4e8f0e4cdcad684,5c646149cdc48089,f8f0fc3d695ac801,311c0f251d4e7169 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.