Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T148A3CC23422975274437C2C1347A5B3BD1A6999FFAE70A400EECC7FB6AF9C90741B529 |
|
CONTENT
ssdeep
|
768:vVd+tpR4nXF6YjOpSpFlTC6rr7JkyXBdBgp0YHT:vVEtpR4nXBKpSpFl26v1k+JYHT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e305b73911e3e24d |
|
VISUAL
aHash
|
4000707018f5f1fc |
|
VISUAL
dHash
|
8a32c7d3900d0549 |
|
VISUAL
wHash
|
c210707058f5f5fd |
|
VISUAL
colorHash
|
31600010000 |
|
VISUAL
cropResistant
|
8a32c7d3900d0549 |
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.