Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C2244523425979264437C6D134BA5B7BD1A69D9BFAE70A000EDCCBF72BF9CA0701A11D |
|
CONTENT
ssdeep
|
1536:WpR4nXBKpSpFl26vaaWXEAzXX8FAgs+aFyBBr1xbYVbU3XFqdG7DzKwBIK:yUM5asxYNwG0/K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
edc43b90c33ac64b |
|
VISUAL
aHash
|
fffbf3f3f3838181 |
|
VISUAL
dHash
|
2b37232363273b2b |
|
VISUAL
wHash
|
ff93b1f1f1818181 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
2b37232363273b2b,7cbc9c5c64ecaea6,fc7f435cd9d1d9c9 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.