Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FBE1E6FB9224875D8582D5A8FF63F0D0824AD0AFE2A6D9C0D69E877804EBCD4F566850 |
|
CONTENT
ssdeep
|
96:TGibmhihEHhZG7ofkPKg2+3wehaBQ8VjKx3NuZkTmB0qMcSPWSic/Coa:aibmhihEHhgMfkijywAcQSyUZxBcFL/W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e8607859593bf4a6 |
|
VISUAL
aHash
|
0000ffffffffbfdf |
|
VISUAL
dHash
|
838786b2f2475735 |
|
VISUAL
wHash
|
0000e7ffffff8100 |
|
VISUAL
colorHash
|
0e180008000 |
|
VISUAL
cropResistant
|
868633f2c8577735,6093939393228084,4d5555557577761a,594b67e7e725251b,6565652a2a2a6746,eaeece6ba9291717,9919516566666654,73535b4b4b5b5a62,696d541414564e4c,62624a4a5a5a1894,254545697c14968b,165eced6969189a9 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)