Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111322F23AA00CC298DAB55CCF6C09989455DC35AFB314CCAB2A491FF7BC1DF0699939D |
|
CONTENT
ssdeep
|
192:133JMdXtNb+cMMcnthWeNWbjUg54vVfMmUU8VCoZek0:AXDqcXUg54vVfMmUFCoZe7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e626d999d9266626 |
|
VISUAL
aHash
|
e7efe7e7fffffffe |
|
VISUAL
dHash
|
0c080d0c00000000 |
|
VISUAL
wHash
|
e4e4e4e400000100 |
|
VISUAL
colorHash
|
07000200030 |
|
VISUAL
cropResistant
|
0c080d0c00000000 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)