Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T130326333B600CC2A4D9B66CCF2C09689415AD346FB3188CA71A451FFBBC4DF169997AD |
|
CONTENT
ssdeep
|
192:ToYc0cRch8GIuQxqWMcnthWeNWberLfMmUU8VCoEU:zc0cRch8GN0rLfMmUFCoEU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33333cccccccc46 |
|
VISUAL
aHash
|
e7c3e7ffffffffff |
|
VISUAL
dHash
|
4d4d4d320c080800 |
|
VISUAL
wHash
|
e4e4e4f030380008 |
|
VISUAL
colorHash
|
07606000000 |
|
VISUAL
cropResistant
|
4d4d4d320c080800,a28080a2808080a0,60a1646a6a13b230 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)