Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T130238B74761436E702A798C4A8607F9971E3F34BC18784D05BBDA2950FC3EA1F91A4AF |
|
CONTENT
ssdeep
|
384:rczSMDnVf5uaZQ7UGrvwNHN9BVzomIdz1f9vq9uHsHf4u/gf3jdBabCT7BnVjdIb:r5MDYqHN9BVMyou |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7673838c3c79a38 |
|
VISUAL
aHash
|
80207c7e2000187c |
|
VISUAL
dHash
|
2366c0c4c434f0c9 |
|
VISUAL
wHash
|
81307e7e78023c7f |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
97820096061600a2,2366c0c4c434f0c9 |
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 178 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)