Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T123F2B671B1047A3F01A7C3C9B762B72EA2E38289DB4A091183FD835D4BE7D81ED23565 |
|
CONTENT
ssdeep
|
768:ELy5NQwlfcbCF1Mgt0mg3Ly9ySF/PNfVp8D6pQbrRo34wiWh145aJSVO9iNIIIIr:iYfcbCF1Mgt0mg3Ly9ySF/PNfVp8D6pI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c767fc10b82992cd |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
54c9c3c3d0ccc000 |
|
VISUAL
wHash
|
00757120303cffff |
|
VISUAL
colorHash
|
31e00008000 |
|
VISUAL
cropResistant
|
d400c00458988000,544dc9c7c3c0ccc0 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.