Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1040341328000783B0663D2D59636631FB3C2894ECF634E56A7F9439CABF6E95EC1591A |
|
CONTENT
ssdeep
|
768:p8IQQ6CBbdrcbyvAs6s6LmpsBi7NVEbzKNTLAWxdiUf79o:4Q6XXLmpB7NVEbzKlMWxdt79o |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b7229c18e754f878 |
|
VISUAL
aHash
|
ff0000a280000cff |
|
VISUAL
dHash
|
e4f90a4e4e987852 |
|
VISUAL
wHash
|
ff0102e2e3048eff |
|
VISUAL
colorHash
|
0b206000001 |
|
VISUAL
cropResistant
|
86818181a1a18095,cc4cc8a6a5a0a9cc,f8c0d45a5a5a5a51,e4e90b4e4e581878 |
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 78 techniques to evade detection by security scanners and make reverse engineering more difficult.