Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5A37933411935274037C6D530A95B3BD2A69A5FFAE70A410EECD7EB2BFACA0744711A |
|
CONTENT
ssdeep
|
1536:llD4nC141KLz4NP/y9svbliCdJBGConuFtiuCa28y2O9:mGmA79 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d76bfd32d16c8402 |
|
VISUAL
aHash
|
00002000000000ff |
|
VISUAL
dHash
|
0c49c3e3ccccf698 |
|
VISUAL
wHash
|
c0ed71302c063eff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
000180815c588090,0c09cbe3c3ccc434 |
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.
Pages with identical visual appearance (based on perceptual hash)