Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19831F3311005BD3F0592C6E0DA76A38B73C58A27DE271B0296F5D39E5FCAD91DD62188 |
|
CONTENT
ssdeep
|
24:hxzgszpxyIzicILwZvgJbCKwHeGLaPmQ26AeK+y3NlP53B0:Pzjzr9zv2whg2H5eA+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ddd0b2e023ddf2a0 |
|
VISUAL
aHash
|
ee9c989800f9db83 |
|
VISUAL
dHash
|
98303072c393334f |
|
VISUAL
wHash
|
ee9c989820f1fb83 |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
d8d6e7bb0f0686c2,a2a2a28e9696aaa2,98303072c393334f |
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 851 techniques to evade detection by security scanners and make reverse engineering more difficult.