Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19F7365B61142AA3F118382D1976CE359E386D60DC7A74946E7EC832B37C6DF0ED361A4 |
|
CONTENT
ssdeep
|
1536:XrqgoB4DcJT0C4CsGm4yC0brGp9j8P0VxVuz89z:ZrJGXjlhz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d496bc |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
8ccbccd0cccc23cc |
|
VISUAL
wHash
|
00003c7e7eff81e7 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
c8c8d4cccc234c4c,848fe9cbc0c8dcd4,4561417971690141,00454d7171414541 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)