Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T129A38B33411935274437C6D530A95B3BD2A69E4FFAA70A010EECD7EB1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:clyLLz4NP/y9svbliCdw+yHFtiuCa28y2O9:PmA0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c766b53ad528c54a |
|
VISUAL
aHash
|
00000000000001ff |
|
VISUAL
dHash
|
1c8cc6c2c9cdf398 |
|
VISUAL
wHash
|
00e7f3302004ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
2004a081185880a0,940cc6c2c2c9cdf3 |
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.