Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13A734DF0B181F923417340C1A0EF564673BF121BA90D08A0F799EBDA75E9C6B51B7B89 |
|
CONTENT
ssdeep
|
768:HT0TQH7YFanUxQRs9z843LKBRAdwgnGiRgVzc+b42NB2jIGrTnzq8QE12OlDlGYT:Ds113LKBRAdwgnGiRkzQ2N0msQw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9e8969fa992e0c2 |
|
VISUAL
aHash
|
fff1f1f9f9000000 |
|
VISUAL
dHash
|
7297839353d2c0c0 |
|
VISUAL
wHash
|
fff1f1f9f9180000 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
040b4b6c6b8b0800,92d8d89239b0a169,32c7939313c8c0c4 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.