Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14F227329D25C371926A64194F662C6EBB35682F8F3150FE86B7CC23BF8492B441732DD |
|
CONTENT
ssdeep
|
192:GHrpu0MFoj4Gx+GNe8WInsyp2qsPLX1NRSdT1NXXUFg79t4L0BaKTr:GHr00MOj42+18Ls02q39t4L0BdTr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc659167929c323e |
|
VISUAL
aHash
|
c3c383df8383838f |
|
VISUAL
dHash
|
071723332f1f3b3b |
|
VISUAL
wHash
|
c3c383db8387838f |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
071723332f1f3b3b |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.