Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116D294B1A1103A3F0297C3C9B721F72AA2E3524DEA45185652FED35D4BE7D90DE2312E |
|
CONTENT
ssdeep
|
768:wSzy5NMjUJQJMgmBbbzswIGwyeSv7sOy2+y9BH4crIe:hfJmbbzIGwlI7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f53a963c8de0 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c8c3c3e8cde99b00 |
|
VISUAL
wHash
|
60f370340401ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
0080a00458988000,c8cbc3c2cccde91b |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)