Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T176A211D6C294D136476366C8F3A86B67777282C1CF26090812F4532FBF4FEA183524A7 |
|
CONTENT
ssdeep
|
384:a9YYY+zFqjz1U5Vw1nuKiPaLbDI86PCyzfx8F:a9YYY+pqjz16Vw1nFcaHcN9zSF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c03e7f820329afb |
|
VISUAL
aHash
|
03030f07dfdfffdf |
|
VISUAL
dHash
|
fff7ffbeb63030b0 |
|
VISUAL
wHash
|
010303031fdfff1f |
|
VISUAL
colorHash
|
07002000180 |
|
VISUAL
cropResistant
|
fff7ffbeb63030b0,cff7ffbf7ff7df4b |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.