Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FA930AB52252267E100382F5E728E52AD3D7EB4DD7338E83D3F88B13A5C9CD88E64595 |
|
CONTENT
ssdeep
|
768:LM6lkJ+00UiBUMZKEbQuDJOOccEKmBTK6lkJ+00UiBUMZKEbQuDJOOccEKmBTSRs:fU7RI0Igl0WneUbKCOsud0+Om |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ec7c3d81ccc18 |
|
VISUAL
aHash
|
ff839f9fdfffffff |
|
VISUAL
dHash
|
432e3c34b0d43403 |
|
VISUAL
wHash
|
00001e1e5e1e9fff |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
432e3c34b0d43403,5a9989cbcd4d45e5 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)