Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F423D925930971610B7B4FF4E9BD42031397999FF9B2A0A09D2AF7E634C3FB4995E108 |
|
CONTENT
ssdeep
|
1536:aPtQZsB5ZjId3vbPOnsdv/g7ksHqqZjispgNmzUmwCE+GnIWnIji09OjifIdM0at:mHqqZjispgNmzUmPE+GnIWnIji09OjiV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b372ce8158ce8cbc |
|
VISUAL
aHash
|
e7e7c7c4476fffff |
|
VISUAL
dHash
|
8c0f9f099ddbce36 |
|
VISUAL
wHash
|
67c3c3c0454f2fc3 |
|
VISUAL
colorHash
|
07203000040 |
|
VISUAL
cropResistant
|
8c0f9f099ddbce36,582e371827618326,3c3c19535efd7d7d,e86233339b8d978e,0000083032300800,72cfe7e3e3642d99 |
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 423 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)