Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T115E29771A1507F3B03A392C6B2A1A75A63E3824ED70B051657FD472D4BE3E00ED2772A |
|
CONTENT
ssdeep
|
768:GQed1+6ojhUnGXtPiDKri7sOy2+y9BH4crIe:mohj/ri7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d340f832bd6d96c1 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d88cc4c8cc0cc300 |
|
VISUAL
wHash
|
006470382e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04200c86860c3004,0080800058988000,d888c4c0c8cc3cc3 |
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.