Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F09121706440C43B13A3E2D5567A6F5FEEE6864ADA230616FBF8976D1ED6C80CD7A020 |
|
CONTENT
ssdeep
|
96:/Qsu5IqbyoJxYTM3AVvJeDOhOm8LWmHtoHL+9B:6/byoJxYIwVheDOU3WLHiL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8af0f0cad8cecea1 |
|
VISUAL
aHash
|
ff00183c3c3c1800 |
|
VISUAL
dHash
|
689f6969796969d7 |
|
VISUAL
wHash
|
ff013f3d3c3c3c00 |
|
VISUAL
colorHash
|
020000001c0 |
|
VISUAL
cropResistant
|
00082808080a004c,8aae9a9aa2a29696,9f7969696969e9df |
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 8008 techniques to evade detection by security scanners and make reverse engineering more difficult.