Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CB92F74A3641AC3F435783CAA6D2872E979BD3D0DD13EE0866D7CB0D27C9D57CAA1214 |
|
CONTENT
ssdeep
|
384:sDZ2XrwN0WZak+mx7ZDKPj0/aLUq4E6GiSfsigBn2hAUcVy0m/MN:SZcrwN/+mx7ZUjfU39GiW6pEG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8e7070ccb3d3ce70 |
|
VISUAL
aHash
|
66003c3c183c0000 |
|
VISUAL
dHash
|
9c22f87869606060 |
|
VISUAL
wHash
|
ff003c3e3c3c1c1e |
|
VISUAL
colorHash
|
38000000046 |
|
VISUAL
cropResistant
|
9c22f87869606060 |
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.