Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170C2DB7B90882035128742C1FE45AB47F868C10DD655DA54E9FE833A73DF8A9E2672F8 |
|
CONTENT
ssdeep
|
768:52+eZ+ei+e32SlseNHN3486Vl6NFOvL7Y0plAiy+s/f:52+eZ+ei+eLsu4Zl6Nw7rgi9s/f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c74e88cc653793d8 |
|
VISUAL
aHash
|
10100400f8ffffff |
|
VISUAL
dHash
|
f1f1484e302a333b |
|
VISUAL
wHash
|
00001c00f8ffffff |
|
VISUAL
colorHash
|
07600030000 |
|
VISUAL
cropResistant
|
f1f1484e302a333b |
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 544 techniques to evade detection by security scanners and make reverse engineering more difficult.