Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BF51E975D4910C61BC3B8630DDD5C51827138E5DE78302F28AE1106FA2E8EA5D9DB2FC |
|
CONTENT
ssdeep
|
48:TLAVVd6jPJYoD/k6jPBrRV9FP1A2AFP5fJtWtFP4c1ovFJu:T409TBn9YLfqtWMou |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c93a36e78dc91c32 |
|
VISUAL
aHash
|
0000187878f86000 |
|
VISUAL
dHash
|
90cdb0b2b2b0c0e0 |
|
VISUAL
wHash
|
00e4fcf8fcfcf800 |
|
VISUAL
colorHash
|
00000e00000 |
|
VISUAL
cropResistant
|
a08c8ea2e0b233a0,90cdb0b2b2b0c0e0 |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Português | Inglês | Trigger |
|---|---|---|---|