Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B582A672415456F71183A3E09A732AB9728D16A2FBB3CADAC2F0CF459FD6CD8CC51426 |
|
CONTENT
ssdeep
|
384:weIhNBXELiy/Y+nPacLu+THNvPeRVxvGhZEs:weUZELk+Cup |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e196566d696d1247 |
|
VISUAL
aHash
|
00ffffc3c3c3c3c3 |
|
VISUAL
dHash
|
0a080e9696969696 |
|
VISUAL
wHash
|
00f7c7c3c3c3c3c3 |
|
VISUAL
colorHash
|
17001030000 |
|
VISUAL
cropResistant
|
0a088e9696969696,0010488848489008,4d4db045c8884c4d,4d4c92cee8aa4c4d,4d4d4df4b292d2cd |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)