Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T169C28572A100273F0183C3C9B761B72EE2D3838ADB9A091592FD975E5FE2E50DE17426 |
|
CONTENT
ssdeep
|
768:WSCy5NxvYngLKYB2XibntnU7sOy2+y9BH4c1Ie:HYt6tU7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9363f53adc2c90c9 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49c2e0e9c98d00 |
|
VISUAL
wHash
|
81ef3030040cffff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
0080802058d08000,1c49cae0c0e9c909 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.