Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151B2ABF3D0B8446B47439EC439693F4A7283D289CDE1AE4AB1F4E0E62FD9D508C9453A |
|
CONTENT
ssdeep
|
384:SvlSbRbiKiYxeErENEoE2ESEdEHf1Bt3BlLthNhL/9fOIt41Bt3aOItEsncgtYQq:SvlSbRbiKiYG1n3BlxhNhL/9fOA41n3x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecee10109f41bf33 |
|
VISUAL
aHash
|
fffff3fbff0000ff |
|
VISUAL
dHash
|
c427276303a58046 |
|
VISUAL
wHash
|
fff7f1f1fb000000 |
|
VISUAL
colorHash
|
0e400030000 |
|
VISUAL
cropResistant
|
c427072367632327,0000032300002b00,0dd0a2a880808000 |
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.