Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151A38A33411835274437C6D530A55B3BE2E6995FFAE70A010EECD7EA2BFACA0B45711A |
|
CONTENT
ssdeep
|
1536:rm/UihyLz4NP/y9svbliCdAkkWyhFtiuCa28y2O9:LmAtWyy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362d53ab429b54d |
|
VISUAL
aHash
|
00707000000000ff |
|
VISUAL
dHash
|
9cc1c3cbcc2cd3f0 |
|
VISUAL
wHash
|
44fffb71040030ff |
|
VISUAL
colorHash
|
390000001c0 |
|
VISUAL
cropResistant
|
d080c12030808080,dcc9c3cbc98c2cd3 |
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.