Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17643204272082E96C2F345DD85506580628BDB0FC99047B08A7D1E3F2FE26756BA9F7F |
|
CONTENT
ssdeep
|
1536:XxWE1SLCgMn2EE2PGPerUE+2HZKVEEDdR7ojN8rwlTHv1wKQj08rwQhyfafQXDoz:XxWEMCgM2p2IehuEEp9ON8r+THv1wK29 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dba4f04b8e74a03e |
|
VISUAL
aHash
|
3cfeffbc386880fc |
|
VISUAL
dHash
|
d0d0b26079d9082c |
|
VISUAL
wHash
|
7cfefe3c080880fc |
|
VISUAL
colorHash
|
070030000c0 |
|
VISUAL
cropResistant
|
0606048e0e400404,d0b2e26979480828,4c707050d0d0d0e0,06f9f9effcf0fffc,4440434564603030,e7272735313539b6,1915b415eb470e84,b3e1991f36cc1833 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.