Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A8A36933411935274537C6D530A55B3BE2E6894FFAE70A010EECD7EA2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:d9fLz4NP/y9svbliCdApVduFtWAuCa2kX2ZP4:TmAxpVU4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3439539bd3ce486 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
ccc9ccccc8c8cc00 |
|
VISUAL
wHash
|
227c7c302040ffff |
|
VISUAL
colorHash
|
39000000e00 |
|
VISUAL
cropResistant
|
cc0008200134b080,dcc9c8ccc8c8c8cc |
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.