Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F0D101F0D055ED3B4352C6D9A7B66B0F76D1C349CF020944A3F893AF5BDAC60CA22699 |
|
CONTENT
ssdeep
|
96:TkferwaXmH8v670GSFtGgkwvFbesOXwIHF3eVX2X/Q5YnveSTY97zJ:Qferw4c8iatGg4RQoXaCDM97d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c5cf03737e2620e |
|
VISUAL
aHash
|
0018000000ffffff |
|
VISUAL
dHash
|
3032b06070300000 |
|
VISUAL
wHash
|
1818180808ffffff |
|
VISUAL
colorHash
|
07c40000000 |
|
VISUAL
cropResistant
|
01a280a2a2a2a282,01a280a2a2a2a282,0000000000000000,303232b170707070 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.