Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10A23D93138C43B2B05D392C463519F5BF39B8346E2BEC64AE5DAC32F59C6944C876A6C |
|
CONTENT
ssdeep
|
768:UGRyIydj3CFJajBoGvotKcLvJWWHY8Eh9q6zqrk3hIsvI031758daVIx5NGf9WEb:UGgICj3ZjB6JvJN48EhzzqQ3hDvIAd88 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
946bb494ebb084f9 |
|
VISUAL
aHash
|
ff000000067e1e76 |
|
VISUAL
dHash
|
31f0c4e8ccccfccc |
|
VISUAL
wHash
|
ff1800003e7e7e76 |
|
VISUAL
colorHash
|
01000000030 |
|
VISUAL
cropResistant
|
0001917363890006,8494c0f4b0881e5a,a62466a424327236,71e0cce8ccecbccc |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)