Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18F234A726332B86843DB91EEF7382D46B2D6589DF8C74414F5C95A8E23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:ag+EsZx8/G8E4+Dat4MmBLtaMmBxUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvtA4:ag+EsZ/8/+Dat4MmBLtaMmBxUXx+y9dM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3fc4c0e03bd1c0 |
|
VISUAL
aHash
|
81010181ffffffff |
|
VISUAL
dHash
|
7f7773730f004100 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06000000c00 |
|
VISUAL
cropResistant
|
7f7773730f004100,d080809b9b8080d4,fffff3fdf7fbfbff |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.