Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T135A2FD26E1C87C5A06D355A1FB20BAAFF038415DD272F670EF69818297D1CB4C1B52F9 |
|
CONTENT
ssdeep
|
384:UeUeZhekQbj7+9juawqwaezzvru+xlxCnN4b3IYYxMb7+HGGIUpbnwMjSTBP+:UeUeZhekQbHMiawqw5TbxLuxqgwfP+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
813badacad3931b4 |
|
VISUAL
aHash
|
0224046c7e7e7e7e |
|
VISUAL
dHash
|
cac8ccd8e4d4c4c4 |
|
VISUAL
wHash
|
0224046c7e7e7e7e |
|
VISUAL
colorHash
|
18000e00000 |
|
VISUAL
cropResistant
|
cac8ccd8e4d4c4c4 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.