Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BD23B773D1C46126192342CCA431779EE1ED40ECFB6306A569EECABDD6CAE61483864F |
|
CONTENT
ssdeep
|
768:SIIu2kF4qGOXiNrw3r1JI8hB9IZaUJ/FvSr0v:SIIu2kF4ToiNrw3r1JI8JIZaUJ93 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc4678cb156bcac1 |
|
VISUAL
aHash
|
00000000ffffffcf |
|
VISUAL
dHash
|
84c6ccce2e3b1717 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
12003000080 |
|
VISUAL
cropResistant
|
8e1e203b1317171f,cb84e4c2cec4cf8e,fe3cadccd887fd79,cd4d0e1613727651,1a1ecde17272f06c |
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 45 techniques to evade detection by security scanners and make reverse engineering more difficult.