Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14AE39160B8126AF629BFE4F1A4277FD6B592F317C01A518997EC81A04FD7D31F8538A0 |
|
CONTENT
ssdeep
|
768:9lVfMznIFntMJsLO1S6WTzlurJBTsXpIL49Pg2KBrrO:9lVfMznI5ycR6WTzwrnTs649PgzBr6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
87077c7e03787c07 |
|
VISUAL
aHash
|
007f3f3f3fffffff |
|
VISUAL
dHash
|
40c0c0d0d0c00080 |
|
VISUAL
wHash
|
003f3f3f3030f0f0 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
c0c0d0d0d0400000,000020c048484000 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)