Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F0934733465974270533C6C530A95B3BE29A9E5FFAA30E010EECD7FB1BE9CA0751A119 |
|
CONTENT
ssdeep
|
768:kCtGZ9fhOLOxw1gXt3mHWJzvhdPrx0ikWL/6oGn:FOYLOxwOJmHWJzvhdPNxkWL/6oGn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ad6dc636c0c49f32 |
|
VISUAL
aHash
|
fb83abfb0f0703ff |
|
VISUAL
dHash
|
c21252125a7f0fcd |
|
VISUAL
wHash
|
f3030beb0b0303ff |
|
VISUAL
colorHash
|
06600000003 |
|
VISUAL
cropResistant
|
c21252125a7f0fcd,82a2a23327a6b2a2,3f3967331a393f17,41a4d6119e3e9e41 |
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 243 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)