Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E193C531A064762F150305EAAA7AB334026DB3AEF31054E836BD13B4B3D7DE5E673568 |
|
CONTENT
ssdeep
|
768:TqG6KsuFDa8rx3pVeQn/09g3Ql/otzAXK7hKirKPbKtaKV/KmrKv7gKZOK/ZKHxe:3FdpVeQnI/otzA5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4649366c6ce669a |
|
VISUAL
aHash
|
e3c3c3d3c7c3cfdf |
|
VISUAL
dHash
|
0e96969694869612 |
|
VISUAL
wHash
|
c3c3c3c3c0c0c8c0 |
|
VISUAL
colorHash
|
00000000c00 |
|
VISUAL
cropResistant
|
99d9dbf9fa5a5878,0e96969694869612 |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.