Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T144529662234876BF52D7CEFDB4A2F3766126D18AD1B3C1C8A3FC45B65BC2C59C912290 |
|
CONTENT
ssdeep
|
192:3eCYqQSv44FfhrL2hdgkrrrTpdRDXnAdE+ZjWbKu:O7qQSv44FfhrL2hdgMTj+ZjWbKu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8707d69e18d1d31b |
|
VISUAL
aHash
|
0600000001ffffff |
|
VISUAL
dHash
|
fcc6d272730c4d4c |
|
VISUAL
wHash
|
0e2000000fffffff |
|
VISUAL
colorHash
|
0fe02000000 |
|
VISUAL
cropResistant
|
de9ebacecebaba9e,b2534dac364dcda6,b0c1e0606141c48e,790e18304d0c08d0,fceec6c2dad673f9 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)