Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0A3BB27421975274437C2C1346A5B3BD1A6D99BFAEB0A010EECC7FA6BF9CA0741B11D |
|
CONTENT
ssdeep
|
768:F/QtpR4nXF6YjOpSpFlTC6rrW0N6lToRF+cVN8jbLKE:FotpR4nXBKpSpFl26vfN60CcH4buE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83b86cc738d093ee |
|
VISUAL
aHash
|
ff016f0e3e7e3400 |
|
VISUAL
dHash
|
c9cfc8d86ccce46f |
|
VISUAL
wHash
|
ff016f0e3e7e3400 |
|
VISUAL
colorHash
|
18006000040 |
|
VISUAL
cropResistant
|
a494e8cc869612e6,c9cfc8d86ccce46f |
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 115 techniques to evade detection by security scanners and make reverse engineering more difficult.