Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DF11AF7285C41E3F97E2829CCBB273B86681C94CC3C26D8866E596CD43DDD41C8DA2A9 |
|
CONTENT
ssdeep
|
12:nwAy7FWy7FU+DW2ev4121NW342YxFQfhAuqFVAhliLdliL9YwAGmK1ctQ6JWrTUp:n9CECbytvYcIoAy4bI3cmK+pdF9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d923768c8d7389cc |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
100030b2b2300010 |
|
VISUAL
wHash
|
0b093c3f3ffc8c82 |
|
VISUAL
colorHash
|
38003400200 |
|
VISUAL
cropResistant
|
100030b2b2300010 |
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 8399 techniques to evade detection by security scanners and make reverse engineering more difficult.