Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BE41F2F2D3856233625286D2FF64BB38B6D3284EFE615291C1F105FE13C4E6AC04669A |
|
CONTENT
ssdeep
|
48:epuGqnh4zVl7xT9Tg0TxZb7A/7A27A8n/:AVlBB/xNkj7/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
931c3c346ce3cbc9 |
|
VISUAL
aHash
|
141c3c3c3c3c2c00 |
|
VISUAL
dHash
|
74746948f0494930 |
|
VISUAL
wHash
|
3c3c3c3c7c7c7e00 |
|
VISUAL
colorHash
|
38000200038 |
|
VISUAL
cropResistant
|
75655d5575555d55,74746948f0494930 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)