Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11DF34BFD23605EC905CB83F5BF2562D8A28FD669CB5B4D05D2EC8B5921C2CBCCE25582 |
|
CONTENT
ssdeep
|
1536:c3n39zb30HTjDL+Ua5kh0SaZlDUqjhgKs2OEpKC1HGkwPJfzIwqqVBW6g6oHYfJ3:4h4VC6seAm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96cc6d669689c399 |
|
VISUAL
aHash
|
00007e7e7e660000 |
|
VISUAL
dHash
|
4507ccdccccc178e |
|
VISUAL
wHash
|
00027e7e7e7e0000 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
4507ccdccccc178e,aee605894c4c5c5a,26a2aa68a4b2d505,4521416969610145,0111494d4d310901,18d96466084c4c08,4545129accd0ca82 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.