Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T106E32350F4B2193B507F93D5D367072C22D3D38AEA4213EA43F842652BEBC647D4B9A6 |
|
CONTENT
ssdeep
|
1536:Qx4/munMjKbJBrvMqpjPTxg0yfxYXj/fNdeePD2rpHIdUm9L8iPhx5C6OPGuWzLE:lmdKn7Mr6eePLi8hg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aaf5689d1c4b142f |
|
VISUAL
aHash
|
ffe7e7ff3f3f3100 |
|
VISUAL
dHash
|
238e8e2b6cf3e3f5 |
|
VISUAL
wHash
|
83c3e7ff1f1f0100 |
|
VISUAL
colorHash
|
07002010080 |
|
VISUAL
cropResistant
|
238e8e2b6cf3e3f5,32f1684cd4d6dada,2b332b374f717369,1e274b05050034b4 |
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 1507 techniques to evade detection by security scanners and make reverse engineering more difficult.