Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16893AC23421975274437C2C5347A6B3BD1E6999FFEE70A010EDCCBFA2AFAC90741A519 |
|
CONTENT
ssdeep
|
768:XtuWtpR4nXF6YjOpSpFlTC6rrroPaNrwXCp0l4v8:XtZtpR4nXBKpSpFl26vEPSrUdl4v8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2e1373ed94146ce |
|
VISUAL
aHash
|
40037179fd35302c |
|
VISUAL
dHash
|
8bcbc7d3616de4dd |
|
VISUAL
wHash
|
41237179fd35343c |
|
VISUAL
colorHash
|
30402000040 |
|
VISUAL
cropResistant
|
8bcbc7d3616de4dd |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.