Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T143E1F1337009680F33268E6AFFD1F349C982D99ACCA89CE1C1DE51DD86E4DE081A6536 |
|
CONTENT
ssdeep
|
192:w6bTxIac3stKDRYeRkZL2x7qFeUAbt3JSl4JSP:DIac3stKDRYeRkZL2xuFeUAbt3JS3P |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3735d4c66664c4c |
|
VISUAL
aHash
|
00efffe7ffffffff |
|
VISUAL
dHash
|
480c0c4c30000000 |
|
VISUAL
wHash
|
0080e8e0f0f0f0f0 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
4d4c4c4c30080000,00002024a4241820 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)