Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EE0200E2D051D93B076381C1B6B2BBAF76E2C249CF521A6013F813EA67CED91D8164DD |
|
CONTENT
ssdeep
|
192:6d9z8hhNe/QtvnAZu9ZNg6ZN5Zcv5a8U8F:GKNe4tvAZ4ZpZDZ3N8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b171c6ce3331267c |
|
VISUAL
aHash
|
ffffc3c3c3ffff7f |
|
VISUAL
dHash
|
081e9e9e9a4016ce |
|
VISUAL
wHash
|
c3c3c3c3c3e7c303 |
|
VISUAL
colorHash
|
07640008040 |
|
VISUAL
cropResistant
|
081e9e9e9a4016ce,0793e99b8ba3870f,60782a3230c0e040 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.