Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BB43B67B1780232E0AD301FE63842B5BE265F14D62016B50BC9DD1A867F7B1A95B7BCC |
|
CONTENT
ssdeep
|
768:FpEeGp+la9ksVnSciA5gf2DPazuuFR/9+0jLj9F8GAScTv0FGU4xKFzAMX:FpEpnzguDyzP4+bXcTvbTuxX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed499292c3e39696 |
|
VISUAL
aHash
|
fb018100fbffffff |
|
VISUAL
dHash
|
02323212332f2b3b |
|
VISUAL
wHash
|
83000000cbffffff |
|
VISUAL
colorHash
|
03000038000 |
|
VISUAL
cropResistant
|
02323212332f2b3b,7179715157557555 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.