Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F1B31F23415965274437C2D0307A5B3BD2A6DA9FFAE70A001EECC7FA2BF9CA0745B519 |
|
CONTENT
ssdeep
|
1536:DStpR4nXBKpSpFl26vYofLzEMJMWnmztQRk:6UM2fmyRk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9202ed3862ef5de1 |
|
VISUAL
aHash
|
000404040404ffff |
|
VISUAL
dHash
|
f9fcccecdcbc5463 |
|
VISUAL
wHash
|
000f2e0e060effff |
|
VISUAL
colorHash
|
0b002000c40 |
|
VISUAL
cropResistant
|
5334bc88d2ac2411,000040a0a0400000,8080618191610080,0000408090004080,c29a48c82c94ba05,bc00135156562b63,d9fdcccceccc9c7c |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.