Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12163A632A24658039097D2D5F1719B1E32828789C7174FA163F857BE7ECACF5AE122DC |
|
CONTENT
ssdeep
|
1536:/brMUMOUbJo+HoQu/IujRbucuruXuouqRPozXiXj0DZKf+mkR2GRleVO+eH99hGc:DrM7obblinyeT9mkR2k8VleH99hG3SGU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3344c327dcec992 |
|
VISUAL
aHash
|
00207c3c0c7c3c3c |
|
VISUAL
dHash
|
c4ccd8d8dcd8d8d0 |
|
VISUAL
wHash
|
20027e7e4e7c7c78 |
|
VISUAL
colorHash
|
06200030000 |
|
VISUAL
cropResistant
|
c4ccd8d8dcd8d8d0,f0ec496198dc84fa,7324849d9d98dc71,2bebc9f92d2d250d |
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)