Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0A35833411935274437C6D430B95B3BE2E69A5FF9A70A010EECD7FA1BFACA0745A11A |
|
CONTENT
ssdeep
|
1536:ALz4NP/y9svbliCdmBV5FmFtWQuCa2GG2Aw:+mA5X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3069432ed34e56d |
|
VISUAL
aHash
|
002400000000eeff |
|
VISUAL
dHash
|
dcc8ccc8c8cccca2 |
|
VISUAL
wHash
|
067c34206064ffff |
|
VISUAL
colorHash
|
31000008e00 |
|
VISUAL
cropResistant
|
ffffffcdcdcff3ff,00000000303282a0,dcc9ccc4c8c8cccc |
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.