Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19CC155B39004C81A1EE7D68DEBC1F18852E6C25BF77094C2A2D8506F5ED1EF495E236D |
|
CONTENT
ssdeep
|
96:q303oCu4b5Ca/4aR1sYqfMmORR1E8VConu5r123RlvQl:q3035bhndqfMmUU8VCoTK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b44b681bf097e84b |
|
VISUAL
aHash
|
00006266070707c7 |
|
VISUAL
dHash
|
3ac6ce8c8c8c8c9c |
|
VISUAL
wHash
|
8000e6e7cf670fc7 |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
5b5076a5abb6b6b6,64ec4acaca6ccd91,e0d8acace1f0f0f1,c8c1a3b286e26694,3449ccb2b6b4242e,a28096b3ab8080a2,3ac6ce8c8c8c8c9c |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.