Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170A36833411935274437C6D530A95B3BD2E6994FFAA70E010EECD7EA2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:DD4Lz4NP/y9svbliCdnU9bVFtiuCa28y2O9:XWmAZ9b2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c743bc389929c567 |
|
VISUAL
aHash
|
00202000000000ff |
|
VISUAL
dHash
|
98ccc0c0ccc7e7b8 |
|
VISUAL
wHash
|
40f47078267703ff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
808081103000a080,98ccc4c2c8cdc70e |
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.