Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T122C24F27B084D63E0DC381FDDA88B26A658E9148F731D5C268F5823FA655DEC327278D |
|
CONTENT
ssdeep
|
384:G3kwaHeD1u9hcbLlPwNdx64uL57CnTSBelBMyhv+ofMmUFCoof:G3kP+Ehoux6H7CusbfBUs/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc4352cb9cc9cc99 |
|
VISUAL
aHash
|
8581c7838f838f87 |
|
VISUAL
dHash
|
4d4d2e363e261b3e |
|
VISUAL
wHash
|
a785c7838fc38387 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
4d4d2e363e261b3e |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.