Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B25384B2161C72BE5187C3E89B271B5B33A9D9D4B732012446FC97A80EE7C93ED1B190 |
|
CONTENT
ssdeep
|
768:/KfsNFD0KfsNF7jinvl1BKyPfkfazPV0BFm/yEs8MxXNQpfmEtbGR6EqQPI:R5lDfkfazPV0N8MxXNQpfmEtba6EqQPI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a438986593c7e7c3 |
|
VISUAL
aHash
|
8383e7e3e3e3f3ff |
|
VISUAL
dHash
|
3e3e4e060e06060d |
|
VISUAL
wHash
|
838383c3c3e3c3e7 |
|
VISUAL
colorHash
|
07003248000 |
|
VISUAL
cropResistant
|
3e3e4e060e06060d |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.