Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FBB37D70A240B8BB064BDAD84634FF1BB2C1D39ACA17CE0567F9538A5FDBC51CD11A4A |
|
CONTENT
ssdeep
|
768:DyBvqqqqvqqqqgqqqqtAqqqqC7qqqq3qqqq7qqqq+qqqquqqqqtqqqqHqqqqmqqi:D5NAY7mFWua |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99dc6633c9ccb930 |
|
VISUAL
aHash
|
00001858181a0000 |
|
VISUAL
dHash
|
c18ab2b2b2b2aa92 |
|
VISUAL
wHash
|
34405b7e7f7f1840 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
afae4f45474eadaf,c18ab2b2b2b2aa92 |
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 93 techniques to evade detection by security scanners and make reverse engineering more difficult.