Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B673A632964658179197D2D5F2719B1F22828385C7030FA163F867BE7ECACF5AE122DC |
|
CONTENT
ssdeep
|
1536:9nrMULOUbJo+D9uXIuhRbu6uuuXuouqRPozXOZof+mkR2GRleVO+eH99hGbzSGcU:ZrMU4jfih1eTqmkR2k8VleH99hG3SGPB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93246c30cdcf9a9e |
|
VISUAL
aHash
|
00003c7c2e4c7c3c |
|
VISUAL
dHash
|
ceccd8d8dcd8d8d0 |
|
VISUAL
wHash
|
00423e7e7e4c7e3c |
|
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)