Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T167D252B29197AC3701D3E1C7E9952B2F36D282ACDD47130146F8AB9C1BFBC50ED19A19 |
|
CONTENT
ssdeep
|
768:/Wae6jwgzXc44og8VnctGhZYBbyRtaRWZEjnjng0y07BawXJ:s44wjYBblEC7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dd2d172a6b1c3c4a |
|
VISUAL
aHash
|
00f8d8f8f8d8dcf8 |
|
VISUAL
dHash
|
2202323351323000 |
|
VISUAL
wHash
|
00f8d8f8f8d8d8f8 |
|
VISUAL
colorHash
|
06202000000 |
|
VISUAL
cropResistant
|
2232323351323800,0e71708c436b2b2b,7371632f67721281,454129e4d4a55945 |
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 52 techniques to evade detection by security scanners and make reverse engineering more difficult.