Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T121138275218D6B23066A43D06763EFB7B3C88184D533878983FE479A5ACCDE0ED6611B |
|
CONTENT
ssdeep
|
384:gnII+eS3KjGNhe4PraekpUfKtbcyURgV4jsVbXcL0eMO4VcapmUW/tVNHXtpq79e:gnII1arPfMvTgfMO4VVmv1DL9zTft |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6cc99988e9b9926 |
|
VISUAL
aHash
|
ffe3e3e7e3e7e7e7 |
|
VISUAL
dHash
|
06060e0f06060c0e |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
06208008400 |
|
VISUAL
cropResistant
|
06060e0f06060c0e,2f09584e43b1f471,0948662762464200 |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.