Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12C0221307141326906779ECAF4A25F4D328BD734D7020959A37B0A62AFCACED9C75FA4 |
|
CONTENT
ssdeep
|
192:0nqhbbcgShruw+juMD/IZ/+CVNXvENfYNqyTzhBeC3D:kqlauw6uA/G/yCtTzhBeC3D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b399313366666666 |
|
VISUAL
aHash
|
e7e7e7e7e7e7e7e7 |
|
VISUAL
dHash
|
4d4d4d4d4d4d4d4d |
|
VISUAL
wHash
|
e0e0e0e020202020 |
|
VISUAL
colorHash
|
0e000000188 |
|
VISUAL
cropResistant
|
0000000000000000,8080808080808080,f6f0f08690008000 |
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 39 techniques to evade detection by security scanners and make reverse engineering more difficult.