Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13C227273A200DD2A8D9B45CCF2C09989411DC389FB3148CAB1A091FF7BD4DF169A97AD |
|
CONTENT
ssdeep
|
192:hAb3JUdiXZTyHguZOx+McnthWeNWbhFHfMmUU8VCoyO5:eOiXZTyHJyFHfMmUFCoyO5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0387c2967e7c938 |
|
VISUAL
aHash
|
c3c3dfe307ffffff |
|
VISUAL
dHash
|
1696324ecea00400 |
|
VISUAL
wHash
|
81c3c3e3037f0d0c |
|
VISUAL
colorHash
|
07000008081 |
|
VISUAL
cropResistant
|
1696324ecea00400,3232323030303030 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.