Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12033F9203301B3696C334F74F34A70A5C1EEC789E6A2782DB259835574E717AC787DAA |
|
CONTENT
ssdeep
|
1536:km2YaZ0wA3ins+8LQW3RdHYaeHYapfo3E4tgHYaeHYaISpOSFmq8Z7U1c/0BTOev:8K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0319f8f36343e86 |
|
VISUAL
aHash
|
ffffc3c3c7ffffff |
|
VISUAL
dHash
|
111e8e8e0e000460 |
|
VISUAL
wHash
|
00430303c0fcfc9c |
|
VISUAL
colorHash
|
076000080c0 |
|
VISUAL
cropResistant
|
111e8e8e0e000460,940df3daccccd931 |
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 394 techniques to evade detection by security scanners and make reverse engineering more difficult.