Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T197A37833411935274437C6D130A55B3BD2E69A5FFAA70A010EECD7FA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:HsLz4NP/y9svbliCdwvPKnFtiuCa28y2O9:SmAg8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c662bd29cd46d632 |
|
VISUAL
aHash
|
00002430000024ff |
|
VISUAL
dHash
|
c49cccc4c8c8ccdc |
|
VISUAL
wHash
|
00007e743838ffff |
|
VISUAL
colorHash
|
39000000418 |
|
VISUAL
cropResistant
|
0400a081303080a0,cc92ccccc0d8c8cc |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.