Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116245030521C3E2DA52B8BE0F765BB3552ADD245EA1FE42CD5BC12712787C88F8276D8 |
|
CONTENT
ssdeep
|
1536:vIV+vJFSAP76M1+r+QBJ68FKZsmKKn6YZqRqtmHxPqaL+JtkJlyKlvI0d6N8888n:vH3XmKZLZlQQgXBfeOc7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3d638346c65369e |
|
VISUAL
aHash
|
027c7c707c6e2000 |
|
VISUAL
dHash
|
94c8c8c4ecccc9fd |
|
VISUAL
wHash
|
067e7e787e6e2c00 |
|
VISUAL
colorHash
|
30c40000000 |
|
VISUAL
cropResistant
|
010101030280d0c0,54554262a1525696,a22331aecdc94545,2ba9f1ccccd3d2c2,1231a5922b6a4c6d,9a779d9e8eeb5ba6,ba7aed3727ef7aba,94c8c8c4ecccc9fd |
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 114 techniques to evade detection by security scanners and make reverse engineering more difficult.