Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1816272377014C52E4E9382EDEAC8B298A55E9246F730CD9659F4817FAB91DFC34213AC |
|
CONTENT
ssdeep
|
384:Afyi9tbWoeSdne2/53b/Eiz/jFTD7fMmUFCow:K15WoeSdne2/53b/Eiz/JTD7fBUsF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb3bc4c46c6ec494 |
|
VISUAL
aHash
|
81818181cfffffff |
|
VISUAL
dHash
|
2b2b2b2b3b363b3a |
|
VISUAL
wHash
|
8181818181cfffff |
|
VISUAL
colorHash
|
0e206000000 |
|
VISUAL
cropResistant
|
2b2b2b2b3b363b3a,c26cccccaceccc6c |
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.