Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T128A37933411935274437C6D130A95B3BD2A69A5FFAE70A010EECD7EB2BF9CA0745B11A |
|
CONTENT
ssdeep
|
1536:DJej01qlULz4NP/y9svbliCd4ZwCoRRFtiuCa28y2O9:DmALKC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfd32d9299402 |
|
VISUAL
aHash
|
00002000000000ff |
|
VISUAL
dHash
|
1c49cbc3ccccf698 |
|
VISUAL
wHash
|
c0ed71302c063eff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
000180815c588090,1449cbc3c3ccc434 |
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.