Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T106A38933411935274437C6D530A95B3BE2E6994FFAE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:T0lLz4NP/y9svbliCdWuFtWAuCa2nX2ZP4:imAN4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3039438bc3c6de5 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
dcc8c8ccc8c8cc00 |
|
VISUAL
wHash
|
027c7c302060ffff |
|
VISUAL
colorHash
|
39040000e00 |
|
VISUAL
cropResistant
|
cc0008200134b080,dcc8c8cce8c8c8cc |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.