Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FC82553072408D79808B85E6B675EB611DA8E312D3933694F9F717F227D5CFC87292A8 |
|
CONTENT
ssdeep
|
192:Z/2AcKXIFGm0rKVbyteZzJz9MXJSdFjY7BMNUckVOYVsrCEQdExNUhSPzxr:9cKzm0rKVbyteZzJBO0jjY7/kroUa87x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc6db2925252ad6d |
|
VISUAL
aHash
|
fff3f1f0f0fffcfe |
|
VISUAL
dHash
|
38b7c3e4e4e1d1c0 |
|
VISUAL
wHash
|
7e107070707c7c7c |
|
VISUAL
colorHash
|
074000001c0 |
|
VISUAL
cropResistant
|
38b7c3e4e4e1d1c0,7968786c6c999363,41410028121224d0 |
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 112 techniques to evade detection by security scanners and make reverse engineering more difficult.