Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1813377B611466A2F104341E6A71CEE2AD3C9DA09C7F34E47F6ECC33765CADA09E351A4 |
|
CONTENT
ssdeep
|
768:S2kRg84U8covsQnj8bQYnrE0kMwEMfH6kRg84U8covsQnj8bQYnrE0kMwEMfHzJF:oAwJ0pyeaWLd0vxTAa8y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc1ce7c3f0189ab8 |
|
VISUAL
aHash
|
ff939f9fdfffffff |
|
VISUAL
dHash
|
cb2e3131b1e9194d |
|
VISUAL
wHash
|
00001c1cdcfcffe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
cb2e3131b1e9194d,5a9989cbcd4d45e5 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)