Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EFD3F8B0926428791017C3F4F6217ADAF2E2C1C6C74283D4D6F483959BE1EA6C9675FC |
|
CONTENT
ssdeep
|
1536:zIEXOsUHzS/1yoy8Wi3PZh+TlXf0gwfMuUe/++E/z6x13tE2cBV8Ys575S2YMo8c:zes0FSJIxp8nEY58XM1QQQQQQQQQQQ9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bbf446e8940b6969 |
|
VISUAL
aHash
|
ffefe90f8f09080f |
|
VISUAL
dHash
|
b11c9b5a1b53517a |
|
VISUAL
wHash
|
ffce490f8f09090e |
|
VISUAL
colorHash
|
07c00040000 |
|
VISUAL
cropResistant
|
0c18db5a1b53537a,24444c4808999913,98d8648458460e06,9c7adc9c90829cf0,001020b2b2100000,43c3b393d372732b,70f0b1d0e8c0c2c0,010dc1e1490c1923,65496d6563e26313 |
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 245 techniques to evade detection by security scanners and make reverse engineering more difficult.