Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12263B732A25658039097D2D5F2719B1F22868385C7134FA173F897BD7ECACF5AE122D8 |
|
CONTENT
ssdeep
|
1536:MrrMTcOUbJo+OGRdIGAqdGlGz3TGdG6GEjNVbHEs75zXtf+mkR2GRleVO+eH99hX:srM8PvQ4z3iQJ9mkR2k8VleH99hG3SGq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3366d30cd8e9a98 |
|
VISUAL
aHash
|
20203c3e0c6c3c38 |
|
VISUAL
dHash
|
c4ccd8c4d8d8d8d2 |
|
VISUAL
wHash
|
20427e7e4e6e7c38 |
|
VISUAL
colorHash
|
06200030000 |
|
VISUAL
cropResistant
|
c4ccd8c4d8d8d8d2,f0ec496198dc84fa,7324849d9d98dc71,2bebcbf92d2d250d |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.