Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13453F9EA3895A456076290D3B0BF3A4AB339182FB91C55A0B074CBE571F88E5506BF4F |
|
CONTENT
ssdeep
|
768:ZyWuPWuyvLL1D59/u/nCs/5I8n+M27p4qzKfF4TH+KSCVaxZzMX36jwq1coiP8qe:CukAyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b933d36c6c6c3099 |
|
VISUAL
aHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
dHash
|
072b1b3733333333 |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
1ec00008000 |
|
VISUAL
cropResistant
|
0000000000000000,8080808080808081,89dcdce4e0d4d4f4 |
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 700 techniques to evade detection by security scanners and make reverse engineering more difficult.