Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116235B72A731B8B843DBA2DEF7382E46B1D69489E8C74590F5C956DD13C3C806683BB4 |
|
CONTENT
ssdeep
|
768:aw+EsZx8/G85FRsADVStM7B3SdM7BR3Uuix+y9dQpUDF1E56ITmHx3naOhqePqDA:aw+EsZ/85HnDVStM7B3SdM7BR3Uxx+yL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ab6bd4952bc094ad |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
2b4d4b1b1b3fc50e |
|
VISUAL
wHash
|
8180018181ffffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
2b4d4b1b1b3fc50e,0000203272300c10,698e9929991955f8 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)