Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17A235BB26722B8B843DB91EEB7382D56B2D1888DF8C74514F5C95A8D13C3C912297BB4 |
|
CONTENT
ssdeep
|
768:aT7I6+EsZx8/G8n4UDaw2MbBuwbMbB/CN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKN:aX+EsZ/84UDaw2MbBuwbMbBKN2/y9dGC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3f3fc0c0a03e88 |
|
VISUAL
aHash
|
01010187ffffffff |
|
VISUAL
dHash
|
7f7d7f4f0d310000 |
|
VISUAL
wHash
|
00000001f7ffffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
7f7d7f4f0d310000,ffffb6fffdfdffff |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.