Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9227133A600CE2A4DA7568CF1C0A58D4169D385FB3148CBB2A481FF3BC5DF169A839D |
|
CONTENT
ssdeep
|
192:rH3J8d49zBJ5iUS9SRSgXMcnthWeNWb17VfMmUU8VCo/V:C49L5iUk8X07VfMmUFCo/V |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333c8cc3633e1e1 |
|
VISUAL
aHash
|
ffefe70727ffffff |
|
VISUAL
dHash
|
0048486c4c000800 |
|
VISUAL
wHash
|
df470707071f0d0c |
|
VISUAL
colorHash
|
070000001d0 |
|
VISUAL
cropResistant
|
0048486c4c000800 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.