Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9D28431A1205A3B41E781CCB7A27B2EB2E6438AC7491554D6FD83B90FD7E08ED33695 |
|
CONTENT
ssdeep
|
768:1erDS2HQt9OC1OcyjjQtwQVTLdLtA/why3PMUpE3e8eH9/QUfE/TpSyLuz7sOy2P:udMv3exE/TAiuz7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c30b953adc2cbc9a |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
48c8c0c0c8c8c100 |
|
VISUAL
wHash
|
002c70f0fc00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
008080004c888000,69c8c0c0c8c8ccc8 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.