Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ECA3BB23425925274437C2C134AA5B3FE1A6D99FFAE70E410EDCCBFB2AF9C90741A519 |
|
CONTENT
ssdeep
|
768:6vMDAtpR4nXF6YjOpSpFlTC6rrRZ0fJmKzQIX:41tpR4nXBKpSpFl26vjsJZLX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f53ec6cb99312c0 |
|
VISUAL
aHash
|
00002c0c0000ffff |
|
VISUAL
dHash
|
3065685876656626 |
|
VISUAL
wHash
|
b8303c3e1000ffff |
|
VISUAL
colorHash
|
0fc00000080 |
|
VISUAL
cropResistant
|
020080e060600042,0200006060600042,0200006060600042,820080c0a0800082,7287482436a66616,20676d685876656c |
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.