Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T193A3BB23421935274437C2D534BA5B3BD1A6D99FFAE70A010EECCBFA6AF9C90741B119 |
|
CONTENT
ssdeep
|
768:Mb25ktpR4nXF6YjOpSpFlTC6rrWvFUOGviMxyNZ7kPQ:Mb2mtpR4nXBKpSpFl26vvliMsNZ7wQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8331fc46ee3c9163 |
|
VISUAL
aHash
|
00000e0c7e7e00ff |
|
VISUAL
dHash
|
83c9d8e8ccec648d |
|
VISUAL
wHash
|
60042f2e7e7e00ff |
|
VISUAL
colorHash
|
19006000040 |
|
VISUAL
cropResistant
|
b494e8cc829692f6,4100000000000000,83cdd8f8cccce467 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.