Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T156A35933411935274437C6D530A95B3BD2A69A5FFAE70A010EECD7EB1BFACA0744B11A |
|
CONTENT
ssdeep
|
1536:H0fPe4m/UghLz4NP/y9svbliCdF+5CoF6IFtiuCa28y2O9:U/MmAODb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfd32d1698403 |
|
VISUAL
aHash
|
00000000040000ff |
|
VISUAL
dHash
|
1449c3c3ccecd3d8 |
|
VISUAL
wHash
|
c0ef71200e027eff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
000180815c588090,1449c3e3c9ccc4d2 |
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)