Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1105387A123024F6ED98782D5FF607B3AA156838AC6179C5DF7F90057DB82D18FC563A0 |
|
CONTENT
ssdeep
|
768:Ct7MpHtDE41blHxcKlsUA2dFIfad0Y52AHaW5pHaW1BHaWR/HaWJBCjh1tqcU9o1:Ct7cH4PKGKchewVnj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8b7dc329d628d728 |
|
VISUAL
aHash
|
001818050400017e |
|
VISUAL
dHash
|
1939717deccbc3d4 |
|
VISUAL
wHash
|
089c1c1f3f0703ff |
|
VISUAL
colorHash
|
08003000180 |
|
VISUAL
cropResistant
|
82c2252d60684080,8068606068002200,826a6a6a6a82aea2,826a6a6a6a82a2a2,8068686868806480,1939717deccbc3d4 |
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 118 techniques to evade detection by security scanners and make reverse engineering more difficult.