Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11F234B726332B8A843DFA1DEF7382A45B2D6598DF8C74550B5C95ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aDHU8xQ+EsZx8/G8vr4QiDawzDMDB/wzMMDB2r82+/9dtZkDieE565TmHEnkvdhk:aT/S+EsZ/8vEQiDaw3MDB/wgMDBy82+M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3ad06dc3c13a90 |
|
VISUAL
aHash
|
818185818181ffff |
|
VISUAL
dHash
|
590d19514f774700 |
|
VISUAL
wHash
|
85818d818183ffff |
|
VISUAL
colorHash
|
1e031000000 |
|
VISUAL
cropResistant
|
590d19514f774700,191e5c18d1c78fc7 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.