Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11902AE31709D0558316678E3E0F632A6BB1B167E7E8718F075A2DE1BC2AC26FF071964 |
|
CONTENT
ssdeep
|
96:7xgoIqdvMhGNlvCsl7pR6MqkDZX5nSns08brEBW6BnsHtILXPu:FgQxDJ5ks083EBWKsH6L/u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c169be1ce9613696 |
|
VISUAL
aHash
|
ffff00000000ffff |
|
VISUAL
dHash
|
0232c4d6d4041400 |
|
VISUAL
wHash
|
ffff00000000ffff |
|
VISUAL
colorHash
|
33030000080 |
|
VISUAL
cropResistant
|
0008021313800000,3400201e1e000400,74c4c6d4d0cc9414 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.