Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17372C72221043B3D593BCBA8F7E8F365431DE2ACC23A5466F5DD016E2AD2DA0E577784 |
|
CONTENT
ssdeep
|
384:+Hg3JULvyzaHc2dHdM1kafLr2c4J5cWEaqb9:+Hg3JULvyWndaaafP2c4J5cWE7b9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc71e071e662f266 |
|
VISUAL
aHash
|
5818181818181838 |
|
VISUAL
dHash
|
b230303030303030 |
|
VISUAL
wHash
|
ff183c3c381c3c3c |
|
VISUAL
colorHash
|
38000000380 |
|
VISUAL
cropResistant
|
b230303030303030 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.