Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D651EC6190C9353B01A3A2C9FFA06B99E3E74192D7AB0F0612FCC7DE9ACDD01CC82055 |
|
CONTENT
ssdeep
|
48:QtBHSjIoGnIpXNZKfWThyXOeHASLS46iM430Y0Pl:CSAIpXfKf6kXNAupdxE9N |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bec1366b94693ec0 |
|
VISUAL
aHash
|
ffff9f9fff818187 |
|
VISUAL
dHash
|
00632b380f2b2b2c |
|
VISUAL
wHash
|
ff9f818f83818187 |
|
VISUAL
colorHash
|
0600a0c0000 |
|
VISUAL
cropResistant
|
00632b380f2b2b2c,1d1c0c1012322234 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.