Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6B252B0A7806C53A827BA4AF54497CC901A4549F7C9A7D9F248CE842BDF8FB4D117B3 |
|
CONTENT
ssdeep
|
384:mFam8dlBRTgkjv/dBxBEsmcgp91j/XnTmPgA0sWCyqqmYglZhfrDDbm5gOKKcA46:mFam8dlBVgkjv/dBxBEsmcgp91j/XnTd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a43e51ca6e0c8ef |
|
VISUAL
aHash
|
ff003c3c1c18ffff |
|
VISUAL
dHash
|
d479f9e971b03316 |
|
VISUAL
wHash
|
3a003c1c1c18ffff |
|
VISUAL
colorHash
|
0621a000000 |
|
VISUAL
cropResistant
|
000c869494c60070,f9e9e971b0b01632,8940cc084c88e884,6666d81edafe388e,7d39f9e9e971b1b0 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)