Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14AE295A065A111B701A7C3E271B6E76FB2C1415EC7239980E3EC539E4BCEC65FD92386 |
|
CONTENT
ssdeep
|
768:Mgn4V7jo+MHO5540vYIv8YvoYZdL2KS/Lpq:n4V7jZMHO5/vYIv8YvoYZdL2KS/Lpq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9eb16db793846c90 |
|
VISUAL
aHash
|
868c909e9e909e90 |
|
VISUAL
dHash
|
3438243c3c242420 |
|
VISUAL
wHash
|
de88909e9e9c9e98 |
|
VISUAL
colorHash
|
1b000618000 |
|
VISUAL
cropResistant
|
0028104d4d1c2010,0010484c4c4a3008,3438243c3c242420 |
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 614 techniques to evade detection by security scanners and make reverse engineering more difficult.