Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FBE21EA8D724A42249328BE4F23B9F176F81CD75CDC34A5D91B9530A27C7DB0E9ED118 |
|
CONTENT
ssdeep
|
384:B8PQLgppppppppppp1G5J+NZ4V1xvvf5fGdLrGAJjJNSxVE1DvrxfGMllR7:xLDVVlkL/2V4xllR7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b36d64653913cb92 |
|
VISUAL
aHash
|
81c3ff0c0c3c2c2c |
|
VISUAL
dHash
|
969659d9d9d95959 |
|
VISUAL
wHash
|
81c3ff2c3c3c2c3c |
|
VISUAL
colorHash
|
06c00008000 |
|
VISUAL
cropResistant
|
969659d9d9d95959 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.