Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D433667111826E2F108382E1E754A67AF3C5D719CB378E87F6ECC32766CADA09D35168 |
|
CONTENT
ssdeep
|
768:sOWOiuO2ue526JTq1Q+VFOeaWWKOljVWOiuO2ue526JTq1Q+VFOeaWWKOlj8B0kl:EB0pyeaW1B0xxTAa80 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
961c6d63c3c1d39c |
|
VISUAL
aHash
|
00003e7e7e7e0000 |
|
VISUAL
dHash
|
cb277cdccccc334c |
|
VISUAL
wHash
|
00007e7e7e7e81e7 |
|
VISUAL
colorHash
|
07086000000 |
|
VISUAL
cropResistant
|
e4ee8cae9cb68c8c,010084304c4d300a,db2e34ccd4cccc33,921697b114b6ca12,452549d5e5710145 |
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)