Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14A3252D2C05499360B1686C5F7727F5BB662C64ADF430A9077F4836AABCAEB1CA1144C |
|
CONTENT
ssdeep
|
192:QTVW4hDngk44bbb44bbpnzHo1AKUtdrKlyrB+s07zgrTOrGcr978F:QTVW4hkk44bbb44bbpzIMtVKlCB+sxTx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b038cfcf237f3030 |
|
VISUAL
aHash
|
ffcf8783c7cfff7f |
|
VISUAL
dHash
|
423f3f0e9f9b02de |
|
VISUAL
wHash
|
ff83878383c1f903 |
|
VISUAL
colorHash
|
07c00008000 |
|
VISUAL
cropResistant
|
423f3f0e9f9b02de,5a1933a72d293b2b |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)