Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18693AB23422975274437C2C1347A5B3BD1A6D99FFAE70A011EECC7FA6AF9CA0741B119 |
|
CONTENT
ssdeep
|
768:5YAtpR4nXF6YjOpSpFlTC6rr7LR+qqsEUJQzl2Lp0tFCPD:5LtpR4nXBKpSpFl26vRwUJQBztFCPD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c261be38cde1c23d |
|
VISUAL
aHash
|
e0c070707844c0fe |
|
VISUAL
dHash
|
8810c7c3d0ad9c6c |
|
VISUAL
wHash
|
e0e070707874cefe |
|
VISUAL
colorHash
|
30401008000 |
|
VISUAL
cropResistant
|
8810c7c3d0ad9c6c |
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.