Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17A941033C88CFD37365146E05F307A09FA0EA539C9904549D2BA4364FDABAFA5812BF5 |
|
CONTENT
ssdeep
|
3072:vihjJSSamURhz6qvVZh7Vrdri6r6rPrs6r8rnrk6r0r+rV6rhr7rA6r4rVra6r2I:vSjJSSalB6qvVZyCh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c439cd975f46334 |
|
VISUAL
aHash
|
3c180000003c9f9f |
|
VISUAL
dHash
|
7173e9c4f2f03332 |
|
VISUAL
wHash
|
3c190000187fffff |
|
VISUAL
colorHash
|
1b200038000 |
|
VISUAL
cropResistant
|
8c915933738e888e,7173e9c4f2f03332,11d1c9b1b3b1d292 |
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.