Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FA929532B349212C115330E2E4E13215FB1E89BE7B425D74BB65F60BE39C15EA0769F9 |
|
CONTENT
ssdeep
|
192:FK9xDJ5ks08VETEvHcuqJHjBxsFsMpWbtXFkp7KHuNzKsH6L/u:FK9xDJas08VETEPcumLDtXiOuNzKsaLG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9c1c369c3693c96 |
|
VISUAL
aHash
|
ffff81818181c3ff |
|
VISUAL
dHash
|
0223232b2b032b00 |
|
VISUAL
wHash
|
ffc381818181c3ff |
|
VISUAL
colorHash
|
16040e00000 |
|
VISUAL
cropResistant
|
0008021313800000,272b2b2b2b2b1f1c,0000000000000000,2b43010101010101 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)