Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ACF18570A040A63B019392DABBB59B29B3C65448EE63070667F9C35A4FEEE40DD35509 |
|
CONTENT
ssdeep
|
192:+xDiqeYAe3Hv/aHZPwe622mm3YYChRgtRuU:CSOuemYHCLyRuU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926d6d962c853d96 |
|
VISUAL
aHash
|
0600003c3e3e7e18 |
|
VISUAL
dHash
|
86d0e0ccecdcdcf0 |
|
VISUAL
wHash
|
063c007e7e7e7e18 |
|
VISUAL
colorHash
|
38006000080 |
|
VISUAL
cropResistant
|
f9f1f2f8d8f47973,ddfc5c3cec3c14cb,86d0e0ccecdcdcf0 |
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 70 techniques to evade detection by security scanners and make reverse engineering more difficult.