Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C43FBE93855B0164B7340D3A0BF3A8AB33A182FA91C5591A074CFE571B84F5616BF8F |
|
CONTENT
ssdeep
|
1536:p+wa7Tn8hH3m0d86d4wyOloQzZs8oWQbp:j9ds8oWA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b038389bcfcb6564 |
|
VISUAL
aHash
|
c3c3c3ffffffffc7 |
|
VISUAL
dHash
|
9e9e9e0e0e061616 |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07c00018000 |
|
VISUAL
cropResistant
|
9e9e9e0e0e061616,fcf3fdfdd7dbbf9c |
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 701 techniques to evade detection by security scanners and make reverse engineering more difficult.