Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19CF168924404641B122645CE2563FB4A35C7E341DB66184026DD83BB6BDFAF0ECAF3D3 |
|
CONTENT
ssdeep
|
96:T84T4Xs0gnfsJsZdSda0YiIFj3PXn4pMuIFduzGV/8yA37IF2z3NgGuhoLQU:A2oiwQ0YDNfoqXT1SP30Qz3NVp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0303c47cfcb331b |
|
VISUAL
aHash
|
00c3c3ffe7e7ffff |
|
VISUAL
dHash
|
1e1e9e1a0d4d0004 |
|
VISUAL
wHash
|
00c3c0c003273f3f |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
1e1e9e1a0d4d0004,0000804040404040,2fd7e6f6d4f7f686 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.