Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185F3652302186A2A4437C3D475759B77D2B6D98BFAA70A404FDCC3B676EEC50B81B16C |
|
CONTENT
ssdeep
|
1536:e2ZUgQmTa3MZo+Hd1+R0Q1jjC3lewXPmgJO0uk2IORfASyF:e2ZOQxb3jXPDKk2I+ByF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e49be49b6c83932c |
|
VISUAL
aHash
|
fd9c1c1811fff3f3 |
|
VISUAL
dHash
|
0934bcf1632a2727 |
|
VISUAL
wHash
|
fd1c0c0001bff3f3 |
|
VISUAL
colorHash
|
07c00018000 |
|
VISUAL
cropResistant
|
0934bcf1632a2727 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)