Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T181C28431B1106E3B4193D2C9BB61A32FE1E3834EDA860914A3F983AD4FE7D55DE23459 |
|
CONTENT
ssdeep
|
384:b/SkZhVc8KYCF4Y3KYd7jYEVcE626eMb4pqGT2xfUQ/IYsOy2+y9BH4cCUIe:zSkZhVK16z4pdT2K07sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c322b92dcd46d3b2 |
|
VISUAL
aHash
|
000004300000ffff |
|
VISUAL
dHash
|
d4ccccc4c0e0cc00 |
|
VISUAL
wHash
|
00006c7c3878ffff |
|
VISUAL
colorHash
|
3a000000230 |
|
VISUAL
cropResistant
|
8880800458988000,cc92ccccc4c0e0cc |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.