Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DEA37833411935274437C6D130A55B3BE2A6D99FFAE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:mtQLz4NP/y9svbliCd7IIIIIIh8YByQOFtiuCa28y2O9:iOmAm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f66fa9109449c756 |
|
VISUAL
aHash
|
0081f000040000ff |
|
VISUAL
dHash
|
9f0f49496cccb1b0 |
|
VISUAL
wHash
|
0087fff8ee0400ff |
|
VISUAL
colorHash
|
31001400200 |
|
VISUAL
cropResistant
|
0468969686680482,0080900030308080,951f4d492ccc9c98 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.