Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D8A38A33411935274037C6D530A95B3BD2A79A5FFAA70A010EECD7EB1BFACA0B45711A |
|
CONTENT
ssdeep
|
1536:dD9QvAUcxLz4NP/y9svbliCdvUGCoQGFtiuCa28y2O9:JmAN1l |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfd32d4689403 |
|
VISUAL
aHash
|
00002000000000ff |
|
VISUAL
dHash
|
1c49cbe3ccccd3d8 |
|
VISUAL
wHash
|
c0fd61300c067eff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
d100c08018588090,1c09cbc3e3ccccf0 |
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.