Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F5C264302222193E65974BE4F1627B79509ED38CD55B816DF17C83A62FC9C98EDDE340 |
|
CONTENT
ssdeep
|
384:B5pkkNQaRYhZR/P1NRaR421KTuUU1mdrilL:5lN5AR31Wx1KglL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
885c93a5742637b7 |
|
VISUAL
aHash
|
7e3c189098093f3f |
|
VISUAL
dHash
|
d4f03130216be9e9 |
|
VISUAL
wHash
|
7e3c1890b8093f3f |
|
VISUAL
colorHash
|
38203008040 |
|
VISUAL
cropResistant
|
d4f03130216be9e9 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.