Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BFD3633CD2C12533066341C09AB95F95F1C78C4ADEA72A1581FCD26E2BDBD4DF8296B8 |
|
CONTENT
ssdeep
|
768:EDkJ9Md/C2C8wywdyfyzC2CcwywAyfyTC2C9wywIj4OQC2CJwyw+yfyLC2CQwywB:EDkJ9MdlYLhI0eRvxEXekUZpu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8000ffff7f101857 |
|
VISUAL
aHash
|
fffe0c4420ffffff |
|
VISUAL
dHash
|
33a4d4d4cc370e0f |
|
VISUAL
wHash
|
dff0000000ffffc7 |
|
VISUAL
colorHash
|
06200038000 |
|
VISUAL
cropResistant
|
33a4d4d4cc370e0f,fbe430588c0c0e9e,f9d9f9eafeecfef6,e6ef8f9e9fdedfdb,2dd2d2f2f2f2d22d |
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 968 techniques to evade detection by security scanners and make reverse engineering more difficult.