Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C501FEF501835837D693C1E18BF0B75E23D087E9E9C703015AE9D7580AD9E55CC5ADC5 |
|
CONTENT
ssdeep
|
12:h1My7FU6eZwTaTAUn714Auwbt9wTBNu5ruc:h6Cxbaz71V1B9wTBurz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
998366cc9bb34c66 |
|
VISUAL
aHash
|
1818183c3c180000 |
|
VISUAL
dHash
|
7070307971b24830 |
|
VISUAL
wHash
|
3c3c3c7c7c3c3c18 |
|
VISUAL
colorHash
|
38001030000 |
|
VISUAL
cropResistant
|
a280e82b19dc80a2,7070307971b24830 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)