Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198B19672E4949D360B5281C5FBB6377FB7F1C149CB420EA812F8536E1BCBEA1C512499 |
|
CONTENT
ssdeep
|
96:TOT/OyPCT5MT8pHJqjOyPjtfSTsh3GAT431:CTDPCT5MT8pp4PjAghZ8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fef96a0633029b89 |
|
VISUAL
aHash
|
81d8d9c3871f1080 |
|
VISUAL
dHash
|
0733330f2b2b2228 |
|
VISUAL
wHash
|
81d9fbc39f1b18c0 |
|
VISUAL
colorHash
|
30038000080 |
|
VISUAL
cropResistant
|
0733330f2b2b2228 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.