Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B5F211206450ED2701DB99D99672572AA2F98345CA2306C9FBF4C3F91BEFC6CDA33518 |
|
CONTENT
ssdeep
|
768:0wZ4444aVbqjb3bAlenza1Mx1IEh91RsIx/j9DclUf79v:p4444aV2frOenzaSxv3vsIxhDci79v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac2cfcc314a9d5c3 |
|
VISUAL
aHash
|
010101013effffff |
|
VISUAL
dHash
|
b7f7c7bfd5c40238 |
|
VISUAL
wHash
|
010101013cffffff |
|
VISUAL
colorHash
|
06002000180 |
|
VISUAL
cropResistant
|
b7f7c7bfd5c40238,7d1979696b5b7b6d,b72f2f57f73e3935 |
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 67 techniques to evade detection by security scanners and make reverse engineering more difficult.