Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132C2B621B3402A3E129303E9FE5062BAA2629385B74636587FF65BF87515F6DD43308F |
|
CONTENT
ssdeep
|
384:hCmWpCuXtkQOABafO+Q9LNylXD6uuTtIO/wmDv/T:hjwks8qZgCTT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4699bcb64986c39 |
|
VISUAL
aHash
|
ffe7c3c3c3c3ffff |
|
VISUAL
dHash
|
130e969696961016 |
|
VISUAL
wHash
|
99c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07600010000 |
|
VISUAL
cropResistant
|
130e969696961016,fcfcfcecfcd5fef6,982da40761519b93 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)