Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C983C7E8D3309D36111B23EAFBD419345127A347CB5549C1C3EA4EF67BA2E65AC3248E |
|
CONTENT
ssdeep
|
768:xbliUHmUBhzxDIqTzxvosoVaDyb3uCKk49cQUm6WcJt869jzxDIqTzsXZ:JLTz/vJVubfPjDBtbz4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
df28739f6130e710 |
|
VISUAL
aHash
|
023c181818bc9ce0 |
|
VISUAL
dHash
|
b27169b2336a28cc |
|
VISUAL
wHash
|
fe3c3c1838bc9ce0 |
|
VISUAL
colorHash
|
000000101c0 |
|
VISUAL
cropResistant
|
c6c71938298c1f61,3525cdc591586777,f0f4d096968ccccc,b27169b2336a28cc |
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 43 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)