Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A3942AF023A02ABA419787E4B6707357F29B5279EA23D988F7EC87456BC7C6DCD10190 |
|
CONTENT
ssdeep
|
6144:gdvYz91CRm/4p1/8/TE91CRVs11HRm/3nf8Rm/Znzn8Exxy8Rm/ZnzA8Qxx6E9G5:9be3r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2ad81b896a9c3b6 |
|
VISUAL
aHash
|
ff2070e0c440007c |
|
VISUAL
dHash
|
2eedc9452d89a1f8 |
|
VISUAL
wHash
|
fffcf4e0c4c0007c |
|
VISUAL
colorHash
|
0e603000000 |
|
VISUAL
cropResistant
|
2eedc9452d89a1e9,3a785667a5a4ccda,05c684b9b986d695,a880848084d53535,cce9410d0d89a1d8 |
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 77 techniques to evade detection by security scanners and make reverse engineering more difficult.