Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1881335240281447FB0C383E4F3E1BB5FE49ECB25CEA31A4DA6E492632F96D59CE59315 |
|
CONTENT
ssdeep
|
768:+ZbvHbqSbMObKxbdEZbzsbdZvbLrbn1bAZbjsbPUbu9b7ibbsbf+bz4bvhb/Lbwe:2bvHbqSbMObKxbdEZbzsbdZvbLrbn1bX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b292c96c3d3363c |
|
VISUAL
aHash
|
0101006c7c7effff |
|
VISUAL
dHash
|
3b3333d8d8e46c51 |
|
VISUAL
wHash
|
0000006c7cfeffff |
|
VISUAL
colorHash
|
02000000180 |
|
VISUAL
cropResistant
|
3b2b3333333333d8,b2a280ac8c8080b2,057a444c4eb14425,94942a96566a1955,000080e0e0e0e040,c0c0c0c0c0c580c0,333333d8d8e46851,17d4e5c5d1c06c90 |
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.