Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E032B932D5C8273746E242D04B46FB9BF7854284CA328F5986E886C79A9DF91CC3711D |
|
CONTENT
ssdeep
|
192:rQ44CbRPQmyZMX51NnKYgyC6ZBKsaWKPAWg5o+1LxyQ6eMM19:k44CFRy6X51NKYvNSsmA76exyzelD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc8c3331a7259cbd |
|
VISUAL
aHash
|
003c383c3c183c24 |
|
VISUAL
dHash
|
627130603270f0c8 |
|
VISUAL
wHash
|
3a3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
30200030000 |
|
VISUAL
cropResistant
|
49c24215359d8cf0,627130603270f0c8 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.