Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EA13C73392C0513707A793CC3BB0F778A393629DDA094F0966F48B1EEAD6E05DD2A156 |
|
CONTENT
ssdeep
|
768:9vDtuMSSFY4MbqVoa6esYdYgn5M/VBH7omZzjfRqQggWzbUTl0fcwCMdj:9vDtBoqOu5a5j4VSMdj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b890c738c7c79b38 |
|
VISUAL
aHash
|
7fcfdfd3838fdbeb |
|
VISUAL
dHash
|
c8bc3036b63a221a |
|
VISUAL
wHash
|
3f039fc38383c3c3 |
|
VISUAL
colorHash
|
07201018000 |
|
VISUAL
cropResistant
|
c8bc3036b63a221a |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.