Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151B32F23415965274433C3D1306A5B3BE2A6DA9FFAE70A011EECC7F72AF9CA0741B519 |
|
CONTENT
ssdeep
|
1536:8KTfutpR4nXBKpSpFl26vcMA+8FFFPjMhjGfR9a:yUM+LjGfO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9312ed2939cd45e3 |
|
VISUAL
aHash
|
00040404040effff |
|
VISUAL
dHash
|
1cbcccdc9cac002b |
|
VISUAL
wHash
|
0006060e06feffff |
|
VISUAL
colorHash
|
12000010e00 |
|
VISUAL
cropResistant
|
5334bc88d2ac2411,0000402020400000,8080618191610080,0000408090004080,9ad0e4a69c9890a1,ec000957560e2b2b,d03c9cccdc9c9c2c |
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.