Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1822462638218287E26670EC1E258332A7996900FDD0B15C7B1FEC3B543FADC1697B697 |
|
CONTENT
ssdeep
|
6144:qpSeuqBPn11nJQMV3j3juuW6peyphk6LnmncXLhhUUaZ8ZCRf546qt1agHeHeiu0:KuqBPn11n6MV3j3juuW6peyphk6Lnmnn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0cb9f90e08ce39c |
|
VISUAL
aHash
|
ff00004040001aff |
|
VISUAL
dHash
|
33698c8d8c8cb202 |
|
VISUAL
wHash
|
ff3c00e0c0c01fff |
|
VISUAL
colorHash
|
02007000000 |
|
VISUAL
cropResistant
|
6129690013970034,08000c4d4d4d300c,86009e8cccccb28e,8a80ccccccccb28a,0800848e8e8e200c,d1269cd1d19c26d1,8000accccc8c0080,000032222a2a2b23,69288d8c8ccca4b2,4582452b2b960fcc |
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 189 techniques to evade detection by security scanners and make reverse engineering more difficult.