Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E123865110E3166F11BBC3D2ACF3D75868EAA21DD456C126E2FDA2676BCECE1B213710 |
|
CONTENT
ssdeep
|
768:c6ux1CnRslOWeeLJeeeBEeeeyqiee1Yxee/g4eeKkeeetmeeeyRAeeRx7eePjxeo:c664nRslOWeeLJeeeBEeeeyqiee1Yxep |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8af4f53c33349293 |
|
VISUAL
aHash
|
ffffff191c180000 |
|
VISUAL
dHash
|
96a7c59571b13549 |
|
VISUAL
wHash
|
ffffff191d100000 |
|
VISUAL
colorHash
|
39007000000 |
|
VISUAL
cropResistant
|
c0c0c0c0c0c0c0c0,96a6c59571b33549 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.