Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T180A37933411935274437C6D530A95B3BD2A69D8FFAE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:qpiLz4NP/y9svbliCdSwNmjuCbmFtiuCa28y2O9:fmAzaTCB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d767f532d1299049 |
|
VISUAL
aHash
|
00200000000400ff |
|
VISUAL
dHash
|
1c6c42c0c99d63f0 |
|
VISUAL
wHash
|
c3ff30383c0d00ff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
60280001387080a0,1c6c42d0c0e91d63 |
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.