Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T135325133E600DC2A4DAB968CF2C495895159C349FB3148CAB2B491FF7BC4DF069A939D |
|
CONTENT
ssdeep
|
192:Hw3JYd0I07Sm0AVnxLE2McnthWeNWbZTobS1fMmUU8VCo+av:J0I07SdA7E7To+1fMmUFCo+8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0708f0fa70da378 |
|
VISUAL
aHash
|
06c4c4c4cc0818ff |
|
VISUAL
dHash
|
749c9c9898f8f0b4 |
|
VISUAL
wHash
|
06c6cececc0c18ff |
|
VISUAL
colorHash
|
01000000038 |
|
VISUAL
cropResistant
|
749c9c9898f8f0b4,6a60a6a6a0263ef8,7d9d8f8bce966cf8,d0b0a060c0800000 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.