Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T133A3BA23411975274437C2C1346A5B3BD1A6D99BFAE70A014EECCBFB6BF9CA0B41B119 |
|
CONTENT
ssdeep
|
768:aGSHtpR4nXF6YjOpSpFlTC6rr7+0A4nRHbtCpEAV:aGEtpR4nXBKpSpFl26va0AoR7rAV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0611b3bb9ecc6c5 |
|
VISUAL
aHash
|
007070f17804783c |
|
VISUAL
dHash
|
d8c0c7e3d3edb1e8 |
|
VISUAL
wHash
|
0078f0f178747c3f |
|
VISUAL
colorHash
|
3a000030000 |
|
VISUAL
cropResistant
|
85c4b2676373cb8b,d8c0c7e3d3edb1e8 |
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.