Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198A3AB33411935274037C6D430A55B3BD2A69E5FFAA70A014EECD7EB2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:aBF/DLz4NP/y9svbliCd+RuSuFtiuCa28y2O9:MdmAfH9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c762b13add0ac54b |
|
VISUAL
aHash
|
00002000000001ff |
|
VISUAL
dHash
|
948cc6e2c0cde188 |
|
VISUAL
wHash
|
00e7f2302024ffff |
|
VISUAL
colorHash
|
31000600030 |
|
VISUAL
cropResistant
|
82048081185880a0,940ccec2e2c8cde3 |
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.