TrafficWatch, a packet sniffer tool, allows you to monitor and analyze network traffic from PCAP files. It provides insights into various network protocols and can help with network troubleshooting, security analysis, and more.
Clone the repository:
git clone https://github.com/HalilDeniz/TrafficWatch.git
Navigate to the project directory:
cd TrafficWatch
Install the required dependencies:
pip install -r requirements.txt
python3 trafficwatch.py --help
usage: trafficwatch.py [-h] -f FILE [-p {ARP,ICMP,TCP,UDP,DNS,DHCP,HTTP,SNMP,LLMNR,NetBIOS}] [-c COUNT]
Packet Sniffer Tool
options:
-h, --help show this help message and exit
-f FILE, --file FILE Path to the .pcap file to analyze
-p {ARP,ICMP,TCP,UDP,DNS,DHCP,HTTP,SNMP,LLMNR,NetBIOS}, --protocol {ARP,ICMP,TCP,UDP,DNS,DHCP,HTTP,SNMP,LLMNR,NetBIOS}
Filter by specific protocol
-c COUNT, --count COUNT
Number of packets to display
To analyze packets from a PCAP file, use the following command:
python trafficwatch.py -f path/to/your.pcap
To specify a protocol filter (e.g., HTTP) and limit the number of displayed packets (e.g., 10), use:
python trafficwatch.py -f path/to/your.pcap -p HTTP -c 10
-f
or --file
: Path to the PCAP file for analysis.-p
or --protocol
: Filter packets by protocol (ARP, ICMP, TCP, UDP, DNS, DHCP, HTTP, SNMP, LLMNR, NetBIOS).-c
or --count
: Limit the number of displayed packets.Contributions are welcome! If you want to contribute to TrafficWatch, please follow our contribution guidelines.
If you have any questions, comments, or suggestions about Dosinator, please feel free to contact me:
This project is licensed under the MIT License.
Thank you for considering supporting me! Your support enables me to dedicate more time and effort to creating useful tools like DNSWatch and developing new projects. By contributing, you're not only helping me improve existing tools but also inspiring new ideas and innovations. Your support plays a vital role in the growth of this project and future endeavors. Together, let's continue building and learning. Thank you!"ย
Caracal is a static analyzer tool over the SIERRA representation for Starknet smart contracts.
Precompiled binaries are available on our releases page. If you are using Cairo compiler 1.x.x uses the binary v0.1.x otherwise if you are using the Cairo compiler 2.x.x uses v0.2.x.
You need the Rust compiler and Cargo. Building from git:
cargo install --git https://github.com/crytic/caracal --profile release --force
Building from a local copy:
git clone https://github.com/crytic/caracal
cd caracal
cargo install --path . --profile release --force
List detectors:
caracal detectors
List printers:
caracal printers
To use with a standalone cairo file you need to pass the path to the corelib library either with the --corelib
cli option or by setting the CORELIB_PATH
environment variable. Run detectors:
caracal detect path/file/to/analyze --corelib path/to/corelib/src
Run printers:
caracal print path/file/to/analyze --printer printer_to_use --corelib path/to/corelib/src
If you have a project that uses Scarb you need to add the following in Scarb.toml:
[[target.starknet-contract]]
sierra = true
[cairo]
sierra-replace-ids = true
Then pass the path to the directory where Scarb.toml resides. Run detectors:
caracal detect path/to/dir
Run printers:
caracal print path/to/dir --printer printer_to_use
Num | Detector | What it Detects | Impact | Confidence | Cairo |
---|---|---|---|---|---|
1 | controlled-library-call | Library calls with a user controlled class hash | High | Medium | 1 & 2 |
2 | unchecked-l1-handler-from | Detect L1 handlers without from address check | High | Medium | 1 & 2 |
3 | felt252-overflow | Detect user controlled operations with felt252 type, which is not overflow safe | High | Medium | 1 & 2 |
4 | reentrancy | Detect when a storage variable is read before an external call and written after | Medium | Medium | 1 & 2 |
5 | read-only-reentrancy | Detect when a view function read a storage variable written after an external call | Medium | Medium | 1 & 2 |
6 | unused-events | Events defined but not emitted | Medium | Medium | 1 & 2 |
7 | unused-return | Unused return values | Medium | Medium | 1 & 2 |
8 | unenforced-view | Function has view decorator but modifies state | Medium | Medium | 1 |
9 | unused-arguments | Unused arguments | Low | Medium | 1 & 2 |
10 | reentrancy-benign | Detect when a storage variable is written after an external call but not read before | Low | Medium | 1 & 2 |
11 | reentrancy-events | Detect when an event is emitted after an external call leading to out-of-order events | Low | Medium | 1 & 2 |
12 | dead-code | Private functions never used | Low | Medium | 1 & 2 |
The Cairo column represent the compiler version(s) for which the detector is valid.
cfg
: Export the CFG of each function to a .dot filecallgraph
: Export function call graph to a .dot fileCheck the wiki on the following topics:
DNSWatch is a Python-based tool that allows you to sniff and analyze DNS (Domain Name System) traffic on your network. It listens to DNS requests and responses and provides insights into the DNS activity.ย
git clone https://github.com/HalilDeniz/DNSWatch.git
pip install -r requirements.txt
python dnswatch.py -i <interface> [-v] [-o <output_file>] [-k <target_ip>] [--analyze-dns-types] [--doh]
-i
, --interface
: Specify the network interface (e.g., eth0).-v
, --verbose
: Use this flag for more verbose output.-o
, --output
: Specify the filename to save results.-t
, --target-ip
: Specify a specific target IP address to monitor.-adt
, --analyze-dns-types
: Analyze DNS types.--doh
: Use DNS over HTTPS (DoH) for resolving DNS requests.-fd
, --target-domains
: Filter DNS requests by specified domains.-d
, --database
: Enable database storage for DNS requests.Press Ctrl+C
to stop the sniffing process.
python dnswatch.py -i eth0
python dnswatch.py -i eth0 -o dns_results.txt
python dnswatch.py -i eth0 -k 192.168.1.100
python dnswatch.py -i eth0 --analyze-dns-types
python dnswatch.py -i eth0 --doh
python3 dnswatch.py -i wlan0 --database
DNSWatch is licensed under the MIT License. See the LICENSE file for details.
This tool is intended for educational and testing purposes only. It should not be used for any malicious activities.