Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14C747B234259792A4437C7D130A99B7BD1A6DE8BFAA70A010FDCC7F72AF9C50741A21D |
|
CONTENT
ssdeep
|
1536:K31RQVjvjPqSiyeUgQmTa3MZo+Hd1+a0M6KAvgkiIJh5c731uNVj5aqSh4Mv+eYf:deOQoc6fQwAj4Y4w6+8G5gQu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9366986d34936b93 |
|
VISUAL
aHash
|
0464640e46c88e8e |
|
VISUAL
dHash
|
a9cdcccccc191818 |
|
VISUAL
wHash
|
0c74666ee6cc8e8e |
|
VISUAL
colorHash
|
38000000e00 |
|
VISUAL
cropResistant
|
367acaca2666cc9c,8c8c88d0e0806060,a9cdcccccc191818 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.