Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T139D27132A5502A3B01C393C46B706B5F73E18289EAB317496BF4C75C9FDBEAACC25511 |
|
CONTENT
ssdeep
|
768:GCVy6rxE9UMr/AzspKyxcFiJ/OHbG7H+K0Pm:UqE97r/ARyxys/OHbrm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fac439673961b318 |
|
VISUAL
aHash
|
c0dcccecc4e0c0c8 |
|
VISUAL
dHash
|
1828091929091b1b |
|
VISUAL
wHash
|
e8fcfcecc4e0c0c8 |
|
VISUAL
colorHash
|
17207000000 |
|
VISUAL
cropResistant
|
9e9e9e9e9cbe3c3c,f9e4983d6c645652,1828091929091b1b |
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 51 techniques to evade detection by security scanners and make reverse engineering more difficult.