Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17C22C83B7204F7264FE3424DEAE1E79DE71BC199A6301A8921C9901D6FC1EE089B33D5 |
|
CONTENT
ssdeep
|
192:YmU7poaLyrRQvvarItGniVOCDfMmUU8VCoVD:Yl7poHoarIwnio4fMmUFCoVD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6d92929692933a |
|
VISUAL
aHash
|
fff3c3d3d3ffff0f |
|
VISUAL
dHash
|
23121232265b2c7c |
|
VISUAL
wHash
|
83c3838183f3ff07 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
23121232265b2c7c,630703f06f370ecd |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.