Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DC531AB7A1A025BB512347C36C256B1932F7617EAE3B8510D7EC86D5E7FACE4E40C850 |
|
CONTENT
ssdeep
|
768:s/Hk7QYx5cK3DMmnVlvzmaxsBbn5c2eudp0ew5Hj2eeiD2Ki7/APhxOIRK74BRde:dmaxsReaSewBaeei46qIRKodpoNmaxJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8c932cdcc63c33a |
|
VISUAL
aHash
|
ffdfcfdfdbff8181 |
|
VISUAL
dHash
|
233c3c3632320f2f |
|
VISUAL
wHash
|
f98f878381ff8181 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
233c3c3632320f2f,e2f09060a898b0b0,36b39d3335aca964,5926a63686c6b696 |
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 317 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)