Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1464374B2E444003773A31F9CD24DEE2CB162C685FECB5BD072A8A5DB61C6FAAD551308 |
|
CONTENT
ssdeep
|
768:CEtTTtZ8QDt048s8L3JtX8z8CXtqeDEf8Tjb2tB8Ua8hJu8jwzfPVbtN818k8B3u:C6DfAeDEcjbGEzfPVgveDK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bfcb446b2f149468 |
|
VISUAL
aHash
|
ffffffff81810000 |
|
VISUAL
dHash
|
5663212b2b3bd4d4 |
|
VISUAL
wHash
|
8fffffbf81810000 |
|
VISUAL
colorHash
|
030000001c0 |
|
VISUAL
cropResistant
|
366b2b60732b2b3b,0000010606060100,2b2b3b3bcc36d410 |
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 759 techniques to evade detection by security scanners and make reverse engineering more difficult.