Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16AA36A33411935274437C6D130A55B3BE2A6995FFEA70A010EECD7EB1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:hbiFvP/5Lz4NP/y9svbliCdl7KReLomFtiuCa28y2O9:UhmA1ReLoF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362d53eb529bc41 |
|
VISUAL
aHash
|
00606000000000ff |
|
VISUAL
dHash
|
dcc5c3cbcc2cd3d0 |
|
VISUAL
wHash
|
04fff371240038ff |
|
VISUAL
colorHash
|
390000001c0 |
|
VISUAL
cropResistant
|
d080800130308080,dccdc3cbc9cc2cd2 |
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.