Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T158234BB26332B87843DB91EEE7392D15B2D6589DF8C74410F5C95A8E23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:a5+EsZx8/G8Q4WDawkMJBOw4MJBGwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvD:a5+EsZ/8zWDawkMJBOw4MJBGwZUXx+y6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf2fc590c16f90d0 |
|
VISUAL
aHash
|
81818181ffffffff |
|
VISUAL
dHash
|
71717175191f2761 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
0e007000000 |
|
VISUAL
cropResistant
|
71717175191f2761,cdb3f16969b3b3ef |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.