Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19A931BB91385673F204383F0D319E63B9385DA49DB238D96E3ECC327A5C9DE89D24496 |
|
CONTENT
ssdeep
|
768:/w0bQdu0cMi1cQRuc7QOH5yy0sQW6VHI0bQdu0cMi1cQRuc7QOH5yy0sQW6VH8la:9eTlo0IgP0ONkUbKCOZqaV0iOa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ce7c3f0189698 |
|
VISUAL
aHash
|
eb839f9fdfffffff |
|
VISUAL
dHash
|
4b2f3431b574300d |
|
VISUAL
wHash
|
00001f1f5c1cffe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
4b2f3431b574300d,5a9989cbcd4d45e5 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)