Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B4A3BA23412935274437C2C4347AAB3BD1A6995FFEE709014EDCCBFA6AFACA0745A11D |
|
CONTENT
ssdeep
|
768:ATBT36QtpR4nXF6YjOpSpFlTC6rr3L4LoslWbjX:ATBTqQtpR4nXBKpSpFl26vpsMbjX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9213ed6cba134bc5 |
|
VISUAL
aHash
|
00002c0c0c00ffff |
|
VISUAL
dHash
|
1f64695978349904 |
|
VISUAL
wHash
|
00043c3c3e18ffff |
|
VISUAL
colorHash
|
3a006000080 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000000e060600040,000080c080a00080,d922d82c24122766,0be46949797874d1 |
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.