Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T141D2A4729080273F22A7C2C9B351B75DA2E3824DDF89081753FC8B6E1BE7E50E953566 |
|
CONTENT
ssdeep
|
768:dSXy5NAWoHS1OSvDD6rMBrCW4CYYJq67sOy2+y9BH4crIe:BoHS1OSvD+c6CYh67sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
876bfd32d02c9683 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49c3c3c84ce600 |
|
VISUAL
wHash
|
80fd71200406ffff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
008080084c808000,1c09cbe3c3cccce6 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.