Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D2241BF47170AAAA8C8BC7F4F3F57B17B16E1258DF43919A93D8C29517C6C818E029E4 |
|
CONTENT
ssdeep
|
3072:eSjP87k71HeInrv4qRVYZTStOrv4gMI7GXR/43TlYo34LhEK7TXXbYbXe:NmIXXp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3596462cc6666d9 |
|
VISUAL
aHash
|
c0cfdfdbdfe7e7ff |
|
VISUAL
dHash
|
17581230124d4c32 |
|
VISUAL
wHash
|
c0cf1b1b0b031b1b |
|
VISUAL
colorHash
|
07000008c00 |
|
VISUAL
cropResistant
|
17581230124d4c32 |
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 24 techniques to evade detection by security scanners and make reverse engineering more difficult.