Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18BA37A33411935274437C6D130A65B3BD2E6D95FFAA70A010EECD7EA2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:+J06Lz4NP/y9svbliCd/hqSwFtiuCa28y2O9:W0EmA8Zz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3478532bc3c966d |
|
VISUAL
aHash
|
00202000000400ff |
|
VISUAL
dHash
|
dcc8c0c2ccccc3bc |
|
VISUAL
wHash
|
06707060640effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
000080015c5880a0,dcc8c8c0c8ccccc3 |
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.