Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E1E2A731B100763B4197C2C9B362F72AB3EB8345DA5A054592FD836D0BA3D64DE3396E |
|
CONTENT
ssdeep
|
768:KS5y5NOUz89hmmJhvjsyS1FEG8NFz17sOy2+y9BH4cLIe:yVi9ho8P17sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9269ed12896d96c7 |
|
VISUAL
aHash
|
000000000404ffff |
|
VISUAL
dHash
|
190d6343cd0c3300 |
|
VISUAL
wHash
|
80e5f101040effff |
|
VISUAL
colorHash
|
39400038000 |
|
VISUAL
cropResistant
|
fefeffdfcffffffe,0080800078908000,120d4f6b53cddc33 |
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.