Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14E14F86036E0D86917978BF7732FB5E9F49E061F7D400E9FE284FDA426C5912EAA1430 |
|
CONTENT
ssdeep
|
3072:mYxdH7hTqqn73inoGdUHiieF7rtcE8YMc:pH1qE7SoGdQ/cHaE4c |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e30655967983c67 |
|
VISUAL
aHash
|
00381c3c2c1c3c3c |
|
VISUAL
dHash
|
49406d7169f16965 |
|
VISUAL
wHash
|
243c3c3c2c3c7e7c |
|
VISUAL
colorHash
|
08007000000 |
|
VISUAL
cropResistant
|
c774706178ac8ec5,2935b5b4ac69e9e5,49406d7169f16965 |
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 39577 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)