Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T158C28271A1102A3F52D3C3C9B751B36EA2E38249EB45091A53F8C35E4FE7E54DE2361A |
|
CONTENT
ssdeep
|
768:ES5y5NX7qlJI0sE7bang7sOy2+y9BH4cLIe:m4JI0tF7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f53adc2c8dc1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
9cccc0c8c9f70e00 |
|
VISUAL
wHash
|
00e478302c07ffff |
|
VISUAL
colorHash
|
31008000e00 |
|
VISUAL
cropResistant
|
0480800458988000,9cccc8e0c8cdd70e |
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.