Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E4D2B53190542A3B0397C3D9F362B35EA2D7D289CB96081963FC835D4BDAF90DD23969 |
|
CONTENT
ssdeep
|
768:Qly5NgqPuCxwpcQEH1YHw7sOy2+y9BH4crIe:HPgWQEH1YHw7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d36cfc32b843cc8c |
|
VISUAL
aHash
|
000034000000ffff |
|
VISUAL
dHash
|
9c8cc4cceccccc00 |
|
VISUAL
wHash
|
00c6fe240424ffff |
|
VISUAL
colorHash
|
1a000640200 |
|
VISUAL
cropResistant
|
4880800458988000,9c8cc4c4cceccccc |
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.