Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T131A37833411935274437C6D530A95B3BE2E6994FFAA70A010EECD7FA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:Rd+Lz4NP/y9svbliCdwx6tH5FtiuCa28y2O9:cmANi6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2478532bd3db44d |
|
VISUAL
aHash
|
00202000000420ff |
|
VISUAL
dHash
|
dcc8c0caccccc3c8 |
|
VISUAL
wHash
|
06707060444effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
c100a88058588090,dcc8c4c0c8ccccc3 |
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.