Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T193A37A33411935274437C6D430A55B3BD2A69A5FFAA70A010EECDBFB1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:gBR+hYPPSmnWQ2xLM3Msbfm9nF7kPXRgf1JIO/w8cuSB/rzLz4NP/y9svbliCdJA:AmAkh9d6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d76bfd329069c502 |
|
VISUAL
aHash
|
00002000040000ff |
|
VISUAL
dHash
|
1c49cbc3cccc36a8 |
|
VISUAL
wHash
|
c0ef71300e003fff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
c00180815c588090,1c4dcbc3c9ccc434 |
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.