Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1229275509241293744638AE56BE17F2E73C1824BCA4A192606F5C75F8FFBD0CEE22679 |
|
CONTENT
ssdeep
|
384:8Kw+d3mX/EWu56RmEvxz7aiYWga4RwGXxzAiZJ9:zl0/EWu56RmEvxz7aiYWL4RwGXxzAiZn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c0cea7253ecf892 |
|
VISUAL
aHash
|
9d1f1f1a0c0effff |
|
VISUAL
dHash
|
2bf0f270fcbc2696 |
|
VISUAL
wHash
|
001f1f080c0effff |
|
VISUAL
colorHash
|
060010080c0 |
|
VISUAL
cropResistant
|
0040232b2b2b0004,f2f4f27c9c3c2646,f8f2f4f2f27cdcbc |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.