Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CFA3BE234219751B4437C2C034BA5B3BD5A6895FFAE70E410EDC8BFB6BF9C90746A219 |
|
CONTENT
ssdeep
|
1536:pUjGhNvD+4vqmr/9ljoWT9VT9LDnHnhFLhDhHU0XEJU4UpAk84Uek2kUI/MtwKQY:wUMO546LndXjn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9213ec6d98134fcd |
|
VISUAL
aHash
|
00002c0c0400ffff |
|
VISUAL
dHash
|
1e6c49d9c9e71d24 |
|
VISUAL
wHash
|
00043c2c3f21ffff |
|
VISUAL
colorHash
|
39000030000 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000000e060600040,000080c080a00080,4004c86c34269636,3eec6c49d9c9e7cd |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.