Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F263A732A25658035097D2D9F1719B1E22828749C7134FA163F857BE7ECACB5AF123DC |
|
CONTENT
ssdeep
|
1536:p0OUbJo+wx3u5IuhRbuTuzEOEcuXuouaRPozXxcZ3f+mkR2GRleVO+eH99hGbzSG:8Ffi6whneTvXmkR2k8VleH99hG3SGPu+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93246c326dcfc996 |
|
VISUAL
aHash
|
00007c7e0e6c3c3c |
|
VISUAL
dHash
|
ceccd8d8dcd8d8d0 |
|
VISUAL
wHash
|
00423e7e4e6e7e78 |
|
VISUAL
colorHash
|
03200038000 |
|
VISUAL
cropResistant
|
ceccd8d8dcd8d8d0,432c8c9d8c8c4d57,2bebc9f92d2d250d |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)