Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B9330C7021919E3E4583C3E4D764E71DA3DBE285CA1B168AD3FC831B6BCACD5EC29194 |
|
CONTENT
ssdeep
|
768:Au63RlHHwqt3TADEEtWNtiAEpKZAWZMKlHJGPwW+S:KlHHwqt3s1t6tiATWmlH8N+S |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6e91c5999393c2 |
|
VISUAL
aHash
|
fbd18181d1f3ffdf |
|
VISUAL
dHash
|
2b27232323471738 |
|
VISUAL
wHash
|
fd918181c1e3e38f |
|
VISUAL
colorHash
|
06400038000 |
|
VISUAL
cropResistant
|
2b27232323471738 |
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)