Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126F165D1C058DD3B131245E5F7F52B5F7696C349CF060D8493F882ABABCBCA0CA16699 |
|
CONTENT
ssdeep
|
192:Q/wcZHkh4lzH0XsnbcdroykU9zzorcf5Qa:Q/wkLbc5oykmuY3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed3838c7b8f0c598 |
|
VISUAL
aHash
|
0000c1c3ffffffc3 |
|
VISUAL
dHash
|
a2971717e0cc8e17 |
|
VISUAL
wHash
|
000081c1ffffff83 |
|
VISUAL
colorHash
|
16007000000 |
|
VISUAL
cropResistant
|
90a2a2a2a2a2a2b2,f2a2a2a2a2928a0e,a2971717e0cc8e17 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.