Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FD5131B4405A9D330262D1C0A7BA6B1F72DA8665DE8317049BFC934C6FEFE45EE04042 |
|
CONTENT
ssdeep
|
48:TuOSIKzAqDx6w2s2c5RTbBv7a8WR0CoSdw:TJSIKzfDxkc5RT48WRU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c13e1ee11c3ec3c3 |
|
VISUAL
aHash
|
0060664666600000 |
|
VISUAL
dHash
|
18dadc8cccccd830 |
|
VISUAL
wHash
|
08686e6e6f6f0800 |
|
VISUAL
colorHash
|
38400008040 |
|
VISUAL
cropResistant
|
c8b62b4d2bb2c4c0,f4ead98c686c1933,18dadc8cccccd830 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)