Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116D27231A1007A3B12A7C3CDB761E31FA2E3424EDA86095D93F993AD4BE3D54DE23519 |
|
CONTENT
ssdeep
|
768:hSkZyZx37oGnEITbJ/7sOy2+y9BH4cLIe:kAov7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c222bd6dcd4693b2 |
|
VISUAL
aHash
|
000004200000ffff |
|
VISUAL
dHash
|
c4ccccc4c0e0cc00 |
|
VISUAL
wHash
|
00006e7c3838ffff |
|
VISUAL
colorHash
|
3a000000230 |
|
VISUAL
cropResistant
|
8880800458988000,ccd2ccccc4c8e0cc |
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.