Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CCA38A33411975274437C6D130A55B3BE2E69E4FFAA70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:lzLz4NP/y9svbliCdNrZwdtFtiuCa28y2O9:dmARe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f83e9d699341 |
|
VISUAL
aHash
|
00006000040470ff |
|
VISUAL
dHash
|
98c8c0caccccc398 |
|
VISUAL
wHash
|
006c7038260effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04324c4d4d4c1208,c004800158588090,9888c0c8eaccccc3 |
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.