Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18252657350013837536393D65D10A74AF2DBC5C6DAD1EAB1A5F9C22FAAC1CA1FC2624E |
|
CONTENT
ssdeep
|
384:ezfrQCu4stmYgpVLUs07ILZ6rRHjekhzASLs4z5qEPjHf:eoYCWnJ076grHA765Tf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc7b923a69c1c2b2 |
|
VISUAL
aHash
|
8d8effc183bfff9f |
|
VISUAL
dHash
|
393828133e609230 |
|
VISUAL
wHash
|
898c8c80838fff9f |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
393828133e609230,0000083032100800 |
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 974 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)