Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FCE1F6FB9220875E9182C0A8FF62F090928ED09FE666DAD0D7AE47B414D7CD4F567850 |
|
CONTENT
ssdeep
|
192:aRnSr/DrOJU3bBj1FyuOgajywAcQSyUZxBcFL/W:eSr7rXpOl2NjaNcFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e8607059593bf6a6 |
|
VISUAL
aHash
|
0000ffffffffbfdf |
|
VISUAL
dHash
|
838786b2f2475775 |
|
VISUAL
wHash
|
0000e7ffffff8100 |
|
VISUAL
colorHash
|
0e180008000 |
|
VISUAL
cropResistant
|
868632f2c8477775,6083939383608084,23230515a5b77b58,aaaaeb696d2d2d05,73535b4b4b597962,a6a7a5adadada632 |
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)