Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DAE2B872A1006B3F41A796C6B390AB5A63E3834FD34A151657FD832D0BE3E10ED2775A |
|
CONTENT
ssdeep
|
384:FUwUiRl2LLgdVkCYSGk6eJC9Vrsogg4dL/U++IYsOy2+y9BH4ciUIe:OwkVSR6eJQVRggKID7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d241ec36bd6990cd |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
98c8c0c8cc0cc300 |
|
VISUAL
wHash
|
006478282e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
08324c4c4d4c3204,0080800058988000,9888c0d0c8cc1cc3 |
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.