Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T167A2B5329091AE37416796D5B3D89B2622D6D249CE860606C3FDC7FE0BEFC90EE15D41 |
|
CONTENT
ssdeep
|
384:OnLxGLDcolXyC2/cV6wC98lcIIIgNwzx21LuhrQ:OnLxGnlswCGlcIIItIohc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1c53e363c793316 |
|
VISUAL
aHash
|
067f797834260000 |
|
VISUAL
dHash
|
8cc3d3d3e4cce2dd |
|
VISUAL
wHash
|
467f7f797e660000 |
|
VISUAL
colorHash
|
38001600010 |
|
VISUAL
cropResistant
|
8cc3d3d3e4cce2dd |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.