Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T167A36833411935274437C6D030BA5B3BE2E69A5FF9A70A010EECD7FA1BFAC90745A11A |
|
CONTENT
ssdeep
|
1536:XXLz4NP/y9svbliCdIEqXFtWQuCa2YG2Ai:LmAi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3039432ed34ec6d |
|
VISUAL
aHash
|
002400000000eeff |
|
VISUAL
dHash
|
dcc8c4c8c8cccca2 |
|
VISUAL
wHash
|
027c64306064ffff |
|
VISUAL
colorHash
|
31000008e00 |
|
VISUAL
cropResistant
|
ffffff96969ffbff,c0000000303282a0,dcc8ccccc8c8cccc |
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.