Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T146E2772121D1267F111347EAB2E4F761E0D9CB1AC4B38B6BF3FD62B517C5C91EA62680 |
|
CONTENT
ssdeep
|
384:Ux69Lf9mdUsroQ5Hrx6gb0bdRktWwqMKKUKO/AKOyd6g0N+1q5rfOVj:G69Lf9mdvl5j0bdRktxaKUKO/A6BfUru |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b83bc74fc3193143 |
|
VISUAL
aHash
|
f99f8f8f8b8b9fff |
|
VISUAL
dHash
|
4b3c1a32323632d6 |
|
VISUAL
wHash
|
008f8b8b8b8b8aff |
|
VISUAL
colorHash
|
01000038000 |
|
VISUAL
cropResistant
|
2b3c1a3212363256,00008ca6a5000000,454555aaaa554541,e47cc526a1479ede,89d9f79b8b871819,454549a4a4494545 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)