Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17251326140459C17260683ADB776660B66C9D289CB8B0F045BF853BF5EEBE64CC26289 |
|
CONTENT
ssdeep
|
48:2oTmG44Tp8bNMy4Q2OII/Pk5GwZUlwnh9EwL/hPLTCEuo8:2tG/mNMA2DYPAfumFL5PHBup |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9f16710d80523bf |
|
VISUAL
aHash
|
c0c0d9fedf180000 |
|
VISUAL
dHash
|
1a9333b2b2b170f0 |
|
VISUAL
wHash
|
c0c9ffffff180000 |
|
VISUAL
colorHash
|
32c00000000 |
|
VISUAL
cropResistant
|
aa8c8e8e968e8c8e,1a9333b2b2b170f0 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.