Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D7B1D971A0800E33A607D580F2D2AA0B7181CA87DA8B4753C7F147DF5AF7E9ADC47255 |
|
CONTENT
ssdeep
|
96:XCTuOb9H09TBn9YLfqto+6pN471CpLf/ncz56NrAmJol:Sb9U9T+s1C5fvcz2AYol |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999663399cccc33 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
300cb2b2b2b20c30 |
|
VISUAL
wHash
|
000038383c3c3c3c |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
300cb2b2b2b20c30 |
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 53 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)