Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D633767211866E2F104341E5A75CE62BD3CAD709CB638E87F6E8D33752CADA0DD26168 |
|
CONTENT
ssdeep
|
768:mW01UkkcYYYLoQzjY7QEHTc8gEIgEbfW01UkkcYYYLoQzjY7QEHTc8gEIgEbfPD9:8wyD0pyeaWlh0vxTAa88 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc1ce7c3f0189ab8 |
|
VISUAL
aHash
|
fb939f9fdfffffff |
|
VISUAL
dHash
|
cb263131b1e91d4d |
|
VISUAL
wHash
|
01011c1cdcdcffe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
cb263131b1e91d4d,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)