Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10FA38933411935274437C6D530A95B3BD2A69A4FFAE70A010EECD7EB1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:TXS+h1H1RLz4NP/y9svbliCdQeqjzov/FtiuCa28y2O9:XmAQq2k |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfc12d16dc602 |
|
VISUAL
aHash
|
00002000000000ff |
|
VISUAL
dHash
|
1c49cbc3c8cce698 |
|
VISUAL
wHash
|
80ed71203c067eff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
040180815c588090,14094bc3c3ccece4 |
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.