Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14AA37933411935274437C6D530B55B3BE2A6D98FFAA70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:gdyLz4NP/y9svbliCdEiSKOeLFtiuCa28y2O9:OcmA6XnA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3479432bc699765 |
|
VISUAL
aHash
|
00202000000400ff |
|
VISUAL
dHash
|
ccc0c2c2ccccc3a8 |
|
VISUAL
wHash
|
267c7070446ee0ff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
000080015c5880a0,cce8c0c080ccccc3 |
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.