Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AFA37933411935274437C6D530A65B3BD2E69A4FFAE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
768:+SkZAVulLz4NP3+mZY9svblTOCVrFX1d8bJmNFtiuCa28y2OZL:pulLz4NP/y9svbliCdjBFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c64abd39cd46c632 |
|
VISUAL
aHash
|
00002430000024ff |
|
VISUAL
dHash
|
c498c8c4c8e0ccdc |
|
VISUAL
wHash
|
00007c7c3878feff |
|
VISUAL
colorHash
|
39000000418 |
|
VISUAL
cropResistant
|
4400a081303080a0,c412c8ccc0c8e0cc |
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.