Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12C93BC23421935274437C2C1347A5B3BD1A6D99FFAF70A410EECCBFA6AF9CA0741A519 |
|
CONTENT
ssdeep
|
768:wrMtpR4nXF6YjOpSpFlTC6rr7/PB8k+QmI6ctPtAwp01780:wwtpR4nXBKpSpFl26vTPBjNmI6841780 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e20db73b11e5e60c |
|
VISUAL
aHash
|
0000707018f5f1fc |
|
VISUAL
dHash
|
0a32e7c3910d054d |
|
VISUAL
wHash
|
c200707078f5f5fd |
|
VISUAL
colorHash
|
31600010000 |
|
VISUAL
cropResistant
|
0a32e7c3910d054d |
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.