Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T154C1A5EFC28825090F4642D9BE9673DDE29B105D6B828EE85DE4C0FC237576447325DA |
|
CONTENT
ssdeep
|
96:XS1hPZw/SvplRRltrHplLLhcYYZ/pJr5Cs5Ts8rtUoxiB/OoTS:ahPZw8bltrHbXw/pJrkspsyxyTS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bbc43a70c43bc47a |
|
VISUAL
aHash
|
ffffffbfff8d0009 |
|
VISUAL
dHash
|
94197951a2595959 |
|
VISUAL
wHash
|
feff0d3dff000001 |
|
VISUAL
colorHash
|
06000000c00 |
|
VISUAL
cropResistant
|
94197951a2595959,9616aca68fafccc6,29a1cbcab48e6c2c,a4a6decea48e5c1b |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)