Skip to content
Projects
Groups
Snippets
Help
Loading...
Help
Support
Keyboard shortcuts
?
Submit feedback
Contribute to GitLab
Sign in / Register
Toggle navigation
2
2023-261
Project overview
Project overview
Details
Activity
Releases
Repository
Repository
Files
Commits
Branches
Tags
Contributors
Graph
Compare
Issues
0
Issues
0
List
Boards
Labels
Milestones
Merge Requests
0
Merge Requests
0
CI / CD
CI / CD
Pipelines
Jobs
Schedules
Analytics
Analytics
CI / CD
Repository
Value Stream
Wiki
Wiki
Snippets
Snippets
Members
Members
Collapse sidebar
Close sidebar
Activity
Graph
Create a new issue
Jobs
Commits
Issue Boards
Open sidebar
Gamage G.G.I.V.M
2023-261
Commits
d2854a7d
Commit
d2854a7d
authored
Sep 06, 2023
by
Gamage G.G.I.V.M
Browse files
Options
Browse Files
Download
Email Patches
Plain Diff
Delete fuzz.py
parent
0ac301a4
Changes
1
Hide whitespace changes
Inline
Side-by-side
Showing
1 changed file
with
0 additions
and
59 deletions
+0
-59
IT20036102/fuzz.py
IT20036102/fuzz.py
+0
-59
No files found.
IT20036102/fuzz.py
deleted
100644 → 0
View file @
0ac301a4
import
sqlite3
import
random
import
string
# Step 1: Connect to the SQLite database
conn
=
sqlite3
.
connect
(
'event_flow.db'
)
cursor
=
conn
.
cursor
()
# Step 2: Define the target function for vulnerability identification
# Modify this function according to your specific scenario
def
identify_vulnerabilities
(
event_flow_graph_data
):
# Implement your vulnerability identification logic here
# This function will receive the event flow graph data retrieved from the database
# Analyze the data, apply protocol fuzzing techniques, and identify vulnerabilities
# Example: Perform protocol fuzzing on the event flow graph data
for
graph_data
in
event_flow_graph_data
:
# Apply protocol fuzzing techniques
# ...
# Identify vulnerabilities based on fuzzing results
# ...
# Log or handle any identified vulnerabilities
# ...
# Step 3: Retrieve event flow graph data from the database
def
retrieve_event_flow_graph_data
():
cursor
.
execute
(
'SELECT * FROM event_flow'
)
rows
=
cursor
.
fetchall
()
return
rows
# Step 4: Define the fuzzing inputs
def
generate_random_input
(
length
):
return
''
.
join
(
random
.
choice
(
string
.
ascii_letters
+
string
.
digits
)
for
_
in
range
(
length
))
# Step 5: Fuzzing process
def
fuzzing_process
():
event_flow_graph_data
=
retrieve_event_flow_graph_data
()
for
graph_data
in
event_flow_graph_data
:
input_data
=
generate_random_input
(
10
)
# Generate a random input
# Modify the input data to match the expected format of the event flow graph data
# ...
try
:
# Call the target function with the fuzzed input
identify_vulnerabilities
(
graph_data
)
except
Exception
as
e
:
# Log or handle any exceptions or crashes encountered during fuzzing
print
(
f
"Exception occurred: {e}"
)
# Step 6: Execute the fuzzing process
fuzzing_process
()
# Step 7: Close the database connection
cursor
.
close
()
conn
.
close
()
Write
Preview
Markdown
is supported
0%
Try again
or
attach a new file
Attach a file
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Cancel
Please
register
or
sign in
to comment