Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185F2873064816A3B00C3D2D49F72A717A794A785D2425704CBFDC3AD7ACAC99DF5A7C8 |
|
CONTENT
ssdeep
|
384:TCJEm17q9AuqhQ1tJ/+AG8nC6Vo0O90QvRpcDT90T3EIMgq7gPWalFowS:2EIeHq+1tx7CNF+QvRb3EIMgq7KWalFO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b366999999316467 |
|
VISUAL
aHash
|
cfe7c3e7ffffe7ef |
|
VISUAL
dHash
|
1c0d4e0c181c0c1c |
|
VISUAL
wHash
|
03030303c3c3c3cf |
|
VISUAL
colorHash
|
070000000c0 |
|
VISUAL
cropResistant
|
1c0d4e0c181c0c1c,f77931342075cbcb |
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 66 techniques to evade detection by security scanners and make reverse engineering more difficult.