Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11CF32AFC23605EDA04CB83F5BF2462E4A28FD56ECA564D06D2FCCB5522C2CBC9E25585 |
|
CONTENT
ssdeep
|
1536:bfnfNbjvcf7r7LG8Shs5sgu7dTBKNs17gY1EBW3tOOX4GhWQb4Fy0pBiTCL/bX47:/Ki3SglR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96cc6d2796899399 |
|
VISUAL
aHash
|
00007e7e7e660000 |
|
VISUAL
dHash
|
6707ccdccccc17cc |
|
VISUAL
wHash
|
0000fefe7f7f0000 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
6707ccdccccc17cc,aee605894c4c5c5a,4525416969690145,01514d4d4d714941 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.