Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19F226233A600DD2E49AB918CF6C08689511ED345FB3148CBA1A491FF7BC4DF168AA79D |
|
CONTENT
ssdeep
|
192:hxZ4YcLcV0chOrWyOxl+WMcnthWeNWb8GUGFCVfMmUU8VCocm:tcLcV0chOr8GUGFCVfMmUFCocm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a2f622dd08d5a277 |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
0c084d0800004209 |
|
VISUAL
wHash
|
27272727e7ff0000 |
|
VISUAL
colorHash
|
0e000038000 |
|
VISUAL
cropResistant
|
0c080c4d000c0000,48006b6b929b8901 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.