Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17E431CE93954B5425BB290D3A0AF265BB33A242F780C55E0B160CEE970F84A5507FFDE |
|
CONTENT
ssdeep
|
768:FyWuuP/WCy5bsIL1Z6FiL/ucoSDM/CnqWjwqLFBz5X8UoUuHzp/Hy6YpSxHyOzxs:NTRSWyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e949929669690fe9 |
|
VISUAL
aHash
|
fffb1919393bffef |
|
VISUAL
dHash
|
cd83333353528d4c |
|
VISUAL
wHash
|
7ff10109011be7e7 |
|
VISUAL
colorHash
|
07008000c00 |
|
VISUAL
cropResistant
|
cd83333353528d4c,630783d975370f4c |
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 702 techniques to evade detection by security scanners and make reverse engineering more difficult.