Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T164B3EC23415975274837C2C0346A6B3BD1B6DD8FFAE709411EECC7FA2AFAC90741A619 |
|
CONTENT
ssdeep
|
1536:7aRHiztpR4nXBKpSpFl26v0UVNNA0R/MwY+4+fL7FRQWxvTD:nUM+RNzl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9312ec6939cd6761 |
|
VISUAL
aHash
|
0004040404ffffff |
|
VISUAL
dHash
|
1c9cccdc9c0c002b |
|
VISUAL
wHash
|
0006040e06ffffff |
|
VISUAL
colorHash
|
12000008e00 |
|
VISUAL
cropResistant
|
b6b44948f40121c0,800041a121410080,0000409090004080,988022c488f40481,9c000956562b2b0b,c23c9ccc7c9c9c0c |
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.