Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17023D6B0A1115873404383D0E7F5871B62DBF298DE539AA4F3F8439DAECADEADC24255 |
|
CONTENT
ssdeep
|
384:us5+qS8Uq18qxd6kyl31Xay7hYeWemjhsiCeQThYet0ZZWkdgnwe+/R5MTVqvNeK:YqiltLM/pdHL3KlXA5AN3qE5OH+K0Pm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d80d986da37327b2 |
|
VISUAL
aHash
|
18181c000000c5ff |
|
VISUAL
dHash
|
b2b2f0cae0211d9c |
|
VISUAL
wHash
|
3c3c7e282080cfff |
|
VISUAL
colorHash
|
3a000600011 |
|
VISUAL
cropResistant
|
e2e2b2b2aeaa8080,b2b2f0cae0211d9c |
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 40 techniques to evade detection by security scanners and make reverse engineering more difficult.