Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13F224023B600CD2A8D9B56DCF6C49A49411EC385FB3148CAB1A491FFBBC4DF0699939D |
|
CONTENT
ssdeep
|
192:j8XWF3JuPDd8gB+AasgxSbxcxXMcnthWeNWbZfMmUU8VCoCB/0GMe:gXW2P58gBfZbxMefMmUFCoCB/0GMe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0f00f0f0f170f17 |
|
VISUAL
aHash
|
00c0c0c0c0000001 |
|
VISUAL
dHash
|
9090909090618001 |
|
VISUAL
wHash
|
00c0c0c0cc0c0f0f |
|
VISUAL
colorHash
|
00000000038 |
|
VISUAL
cropResistant
|
6060c2e2c0716f68,9090909090618001 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)