Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D7C28531A040173B5197C3CAB771F32EA2E3D389EB8A191592FD935D4BE2E50CA5352B |
|
CONTENT
ssdeep
|
768:TSCy5NNi3JO64r2S00rP7sOy2+y9BH4cLIe:p3JOJFP7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9363f53af128c6c4 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1c49e0f0f9f9b500 |
|
VISUAL
wHash
|
003f30181c0dffff |
|
VISUAL
colorHash
|
11010000c00 |
|
VISUAL
cropResistant
|
2080802058d08000,1c19e6e0f0f9f935 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)