Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C2A38B33411935274437C6D430A55B3BE2A69D4FFAA70A014EECD7EB1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:7FLz4NP/y9svbliCdINvQEw7cFtiuCa28y2O9:ZmA/KT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c560f53ad52bd548 |
|
VISUAL
aHash
|
00000000000001ff |
|
VISUAL
dHash
|
1cc4c6c2c9cd33c8 |
|
VISUAL
wHash
|
00f7f1202005ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
2004a081185880a0,148cc6c2c0c9cd33 |
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.