Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F8C29675E100AA3B529382CD73A1672EA2E7430EDA86065792FD43ED0BE7D54DF2342D |
|
CONTENT
ssdeep
|
384:fXQephE2IRl8N60izxb3T/9AP4m9/GbocIYsOy2+y9BH4cCUIe:PQephFCzR3TC/4v7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d243dd3a9829b9c9 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
38ccc8c8cd8d8b00 |
|
VISUAL
wHash
|
0cf430006465ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,18cccce8c8cd8d8b |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)