Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C4447A33421935260537C6D430B95B3BD2A6DE5FFAE70A010EECD7E72BE9CA0745A11A |
|
CONTENT
ssdeep
|
1536:r2JrC5IIRtsEJPjQBq1Wixx2rUSCu5Ovt8VPB6RxknNucRldNOCPRRx2UdP38NEF:JjLq+Q6unRF2K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
923ecdc938adc2b2 |
|
VISUAL
aHash
|
ff040604047e7e7e |
|
VISUAL
dHash
|
33ccec8cccccd4d4 |
|
VISUAL
wHash
|
ff040604067e7e7e |
|
VISUAL
colorHash
|
02000000180 |
|
VISUAL
cropResistant
|
0003212f27610304,8eacac2c8cb33632,1252c65e1193abeb,ccccec8cccc4d4d4 |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.