Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D2C28331B100BB7B129792C9B761E31FB2E3520ADA870415A3FD83AD4BE7D54DE2351A |
|
CONTENT
ssdeep
|
768:1SkZXvLJP3PS9+GgD1Ub7sOy2+y9BH4cLIe:p1uJr7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c722b829cd46d7b2 |
|
VISUAL
aHash
|
000000300000ffff |
|
VISUAL
dHash
|
c4ccccc0c0c0cc00 |
|
VISUAL
wHash
|
00006e7c3838ffff |
|
VISUAL
colorHash
|
3a000000418 |
|
VISUAL
cropResistant
|
8880800458988000,ccd2ccc4e0c8e0cc |
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.