Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19A948650F2E25833202F52D6E0B8671921D3F7ABD7420BC1E7B447B85BF6CA9781B658 |
|
CONTENT
ssdeep
|
6144:RJaKMWmAQYTzZ6BCo62HqnSMlcryHw4DDXzXnLFXrMFeSCLSTcJ2OsiJiVvgx:Y4DbLLBX9LSTcJ7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e5641431e1f4757 |
|
VISUAL
aHash
|
00ff9f9f9fffdbff |
|
VISUAL
dHash
|
e82e2d3939233b33 |
|
VISUAL
wHash
|
008f8d9d9d8381ff |
|
VISUAL
colorHash
|
07006008000 |
|
VISUAL
cropResistant
|
c0c0e2eaeac2c0c0,3e2d393939233b73,c0e8f0e8c8064b43 |
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 2521 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)