Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19313D83114C47B7B539383D59320EA0BF3968284F67ACA4AF5EAC31B5AC8D54CC67A5C |
|
CONTENT
ssdeep
|
768:sXgc1KtAi3zlCPPF0CjexamjEgcc6+d6ztO75E+nkO/ZosHoJMi6zNgMyEMhCvDe:sXg+KyWzlgPF0CjexA+5d6A7SDO/O+VG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9416ebcacacac996 |
|
VISUAL
aHash
|
ff06060606ffffff |
|
VISUAL
dHash
|
71ecccecec3c3803 |
|
VISUAL
wHash
|
fd060606060cfffb |
|
VISUAL
colorHash
|
0e0000001c0 |
|
VISUAL
cropResistant
|
00014161618501a2,96d6e8b294710f8e,c030380f2c431333,ec6cccccecececec |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.