Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D7A3AB33411835274437C6D530A55B3BE2A79A5FFAA70A010EECD7FA1BFACA0B45711A |
|
CONTENT
ssdeep
|
1536:BULz4NP/y9svbliCdttgLg3Y4FtiuCa28y2O9:MmAWtUgor |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9269ed12cd6d924b |
|
VISUAL
aHash
|
00800000040400ff |
|
VISUAL
dHash
|
09094b63cd0c73f8 |
|
VISUAL
wHash
|
c0efe3212c0e18ff |
|
VISUAL
colorHash
|
31400038000 |
|
VISUAL
cropResistant
|
fefeffcfcffffffe,6906a08138308090,0d094b4b43cd1c73 |
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)