Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16A730F22780E056FB167C3D5A1F4FBA78991CE0ADE700F40DAA5EFCACA91F11B675118 |
|
CONTENT
ssdeep
|
768:ShwrgO5XDw4VB7NNDbxxnVIsRIUFNac2YqaBKqQDEcYa6/AN:XcP4VRAN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f2d00f66181cb7a7 |
|
VISUAL
aHash
|
00e0ffdee1e00000 |
|
VISUAL
dHash
|
cc890cb0890d2b1b |
|
VISUAL
wHash
|
60f4fffef1e01001 |
|
VISUAL
colorHash
|
39200018002 |
|
VISUAL
cropResistant
|
4b4be6b6169ed8e4,9e6ee7cc6ab6b5da,6367f39bce7471f1,d898a7aba5251312,70725a4a0bb3b191,809d5456d2552d22,699d8c8ee4c4b4e8,8cdcc4c4464e4e46,cc890cb0890d2b1b |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)