Wireshark Alternative Android
You need to debug an Android application's network behavior, but you do not want to root the phone, configure a desktop proxy, or rebuild the entire test environment around a laptop.
This tutorial shows a practical wireshark alternative android workflow using Abdal PacketView. The capture runs on the Android device through VpnService, traffic can be limited to selected applications, packets can be filtered in real time, and the final session can be exported as PCAPNG for Wireshark or tshark.
The goal is not to replace every feature in desktop Wireshark. The goal is to make the first half of the investigation easier: collect relevant Android traffic, preserve application context, and hand the capture to a mature desktop analyzer when deeper work is required.
What you will build as a workflow
By the end, you will have a repeatable process for:
- Capturing Android IP traffic without root.
- Limiting capture to a target application.
- Filtering DNS, HTTPS, UDP, QUIC, addresses, and ports.
- Identifying the Android package associated with traffic.
- Saving a ZIP bundle containing PCAPNG and
statistics.json. - Opening the same capture in Wireshark for deeper analysis.
Before you start
You need:
- An Android device with Abdal PacketView installed.
- A target application that you own or are authorized to test.
- Wireshark or tshark on a desktop if you want offline analysis.
- Enough storage for the capture archive.
You should also disconnect any other active VPN. Android permits only one active VPN service per user or profile, and Abdal PacketView uses VpnService to create its local capture tunnel.
Do not capture traffic from devices, accounts, or applications without authorization. Packet captures can contain sensitive metadata and, when protocols are unencrypted, sensitive payload data.
Step 1: Understand what is being captured
Abdal PacketView uses Android's supported VPN API to create a local TUN interface. After you approve the system VPN dialog, Android routes selected IP traffic through that interface.
Conceptually, the path looks like this:
Target Android app
|
v
Android VpnService routing
|
v
Local TUN interface
|
+--> packet metadata decoding
+--> app attribution
+--> live filtering
+--> session statistics
+--> forwarding
|
v
Internet
A TUN interface works at the IP layer. This means the workflow can inspect routed IPv4 and IPv6 packets, but it is not Wi-Fi monitor mode and does not capture frames from other devices on the network.
This distinction prevents a common misunderstanding. A wireshark alternative android application based on VpnService is a local device traffic analyzer, not a passive wireless sniffer.
Step 2: Select the application with App Split
Whole-device captures become noisy quickly. Before starting, open the App Split section and choose the mode that matches your test.
Use Route via Tunnel when you want only selected applications to enter the capture path. This is usually the best mode for debugging one application.
Use Bypass Tunnel when you want to capture most device traffic but exclude specific applications.
For a focused test:
- Choose Route via Tunnel.
- Select only the application under test.
- Apply the configuration.
- Return to the Capture screen.
App Split is not merely a visual filter. It controls which application traffic Android routes through the VPN interface. Display filters, used later, only control which captured packets are shown.
Step 3: Start a short capture
Tap Start and approve the Android VPN consent dialog.
Do not immediately browse through several screens or perform many unrelated actions. A useful packet capture is a controlled experiment.
Use this pattern:
- Start capture.
- Perform one action in the target app.
- Wait for success or failure.
- Return to Abdal PacketView.
- Stop capture.
Examples of one-action tests:
- Sign in once.
- Refresh one data screen.
- Upload one file.
- Send one message.
- Trigger one synchronization attempt.
- Reproduce one API timeout.
A 20-second capture with a precise purpose is often more useful than a 20-minute capture filled with background traffic.
Step 4: Filter the packet table
Abdal PacketView documents Wireshark-style display filters for protocols, fields, comparison operators, containment, Boolean logic, and parentheses.
Start with simple filters.
Find DNS traffic
udp && port == 53
Use this when the application cannot resolve a hostname, connects to an unexpected resolver, or appears to stall before establishing a connection.
Find traffic involving a specific IP address
ip.addr == 8.8.8.8
Replace the address with the endpoint you are investigating.
Find HTTPS-related flows
https
This helps locate encrypted web traffic. It does not decrypt TLS payloads.
Combine conditions
tcp && port == 443 && frame.len > 500
Use combined conditions to reduce the table to the flows that matter.
The syntax is described as Wireshark-style, not necessarily a complete implementation of every Wireshark display-filter field and function. Treat the application's built-in help as the source of truth for supported expressions.
Step 5: Use app attribution
A capture from a phone may include traffic from several sources. Abdal PacketView documents UID-based attribution that associates connections with an application name and package name.
When reviewing a suspicious endpoint, verify the application identity instead of assuming that every packet belongs to the foreground app.
This is useful when:
- Several applications use the same cloud provider.
- The operating system creates background connections.
- An SDK sends telemetry independently of the main API flow.
- A test device contains unrelated messaging or synchronization apps.
- A package contacts an undocumented endpoint.
Application attribution is one of the main reasons this workflow is more practical than a generic packet dump.
Step 6: Save the capture
Use Save Capture after the test is complete.
The documented output is a ZIP package with this structure:
Abdal_PacketView_<timestamp>.zip
├── Abdal_PacketView_<timestamp>.pcapng
└── statistics.json
The PCAPNG file stores the packet capture for Wireshark and tshark. The JSON file stores a session summary such as packet count, captured data size, duration, generation time, and active App Split mode.
The project also states that application attribution can be carried in custom PCAPNG options identified by IANA Private Enterprise Number 66033 for Abdal Security Group. PCAPNG supports custom options associated with a Private Enterprise Number, allowing Android-specific metadata to accompany standard packet data.
Step 7: Open the capture in Wireshark
Move the ZIP archive to your workstation and extract it. Open the .pcapng file in Wireshark.
At this stage, you can use the larger desktop toolset for:
- Detailed protocol trees.
- TCP stream analysis.
- Packet timing and retransmission analysis.
- Advanced display filters.
- Endpoint and conversation statistics.
- I/O graphs.
- Exporting selected packet ranges.
- TLS decryption when you have authorized session secrets.
A simple command-line verification with tshark is:
# -------------------------------------------------------------------
# Programmer : Ebrahim Shafiei (EbraSha)
# Email : Prof.Shafiei@Gmail.com
# -------------------------------------------------------------------
tshark -r Abdal_PacketView_<timestamp>.pcapng -c 20
To inspect DNS packets:
# -------------------------------------------------------------------
# Programmer : Ebrahim Shafiei (EbraSha)
# Email : Prof.Shafiei@Gmail.com
# -------------------------------------------------------------------
tshark -r Abdal_PacketView_<timestamp>.pcapng -Y "dns"
To list traffic involving a known address:
# -------------------------------------------------------------------
# Programmer : Ebrahim Shafiei (EbraSha)
# Email : Prof.Shafiei@Gmail.com
# -------------------------------------------------------------------
tshark -r Abdal_PacketView_<timestamp>.pcapng -Y "ip.addr == 203.0.113.10"
Replace the placeholder filename and test address with values from your capture.
Step 8: Read statistics.json as test context
Do not ignore the JSON file. Packet captures answer what happened on the wire, while session metadata helps explain the conditions under which the capture was created.
A conceptual structure might resemble this:
{
"packetCount": 1240,
"capturedBytes": 987654,
"durationSeconds": 22,
"appSplitMode": "route_via_tunnel",
"generatedAt": "2026-07-12T10:30:00Z"
}
This example is illustrative. Use the actual fields generated by your installed version of Abdal PacketView rather than assuming an undocumented schema.
For bug reports, include:
- The action that was performed.
- The expected result.
- The actual result.
- The capture start and stop conditions.
- The selected App Split mode.
- The display filter used during review.
- The PCAPNG file.
- The original
statistics.jsonfile.
That creates a more reproducible diagnostic package than a screenshot of an error message alone.
What this workflow can reveal
Even when application payloads are encrypted, the capture can reveal useful behavior:
- DNS queries and responses.
- Destination IP addresses and ports.
- TCP connection attempts and resets.
- UDP and QUIC usage.
- Retry patterns.
- Packet sizes and timing.
- Connections to unexpected infrastructure.
- The Android package responsible for a flow.
For example, an application timeout may be caused by DNS failure, unreachable IPv6 routing, repeated TCP retransmissions, a QUIC fallback, or a connection to an obsolete endpoint. You do not always need decrypted payloads to identify the failing layer.
What this workflow cannot do
A technically accurate wireshark alternative android tutorial should also cover the limits.
Abdal PacketView does not turn a normal phone into a Wi-Fi monitor-mode adapter. It does not capture traffic from nearby devices. It does not automatically decrypt TLS or QUIC payloads. It does not reproduce every Wireshark dissector, graph, statistic, or expert-analysis feature on Android.
It also uses the Android VPN slot. If another VPN is active, the two services normally cannot operate simultaneously for the same user or profile.
These limitations are expected for a no-root, VpnService-based architecture.
A debugging checklist
Use this checklist for your next mobile network issue:
- [ ] Confirm that you are authorized to capture the traffic.
- [ ] Disconnect another active VPN.
- [ ] Select the target application with App Split.
- [ ] Start capture immediately before the test action.
- [ ] Reproduce only one issue.
- [ ] Stop capture immediately afterward.
- [ ] Filter by protocol, endpoint, or port.
- [ ] Verify the attributed package.
- [ ] Save the ZIP archive.
- [ ] Keep
statistics.jsonwith the PCAPNG file. - [ ] Continue advanced analysis in Wireshark or tshark.
Conclusion
Abdal PacketView provides a practical wireshark alternative android capture workflow for developers, QA engineers, network analysts, students, and authorized security researchers.
Its value comes from combining Android's supported VpnService and TUN model with live packet metadata, UID-based application attribution, App Split routing, familiar filters, session statistics, and PCAPNG export.
The phone handles collection and first-pass triage. Wireshark handles deep offline analysis. Instead of forcing one tool to do everything, the workflow uses each environment for what it does best.
FAQ
Does Abdal PacketView require root?
No. Its documented architecture uses Android VpnService and requires approval through the system VPN consent dialog.
Is it a full Wireshark port for Android?
No. It is an on-device packet capture and traffic-analysis tool with Wireshark-style filtering and PCAPNG export. Wireshark remains more capable for deep desktop analysis.
Can I capture only one Android application?
The App Split Route via Tunnel mode is designed to route selected applications through the capture tunnel.
What files are exported?
The documented ZIP bundle contains a .pcapng capture and a statistics.json session summary.
Project Links
Developer
Abdal PacketView was designed and developed by Ebrahim Shafiei (EbraSha), a software developer and cybersecurity researcher focused on network analysis, security engineering, and open-source tools.
- GitHub: https://github.com/ebrasha
- Telegram: https://t.me/ProfShafiei
- LinkedIn: https://www.linkedin.com/in/profshafiei/
- X: https://x.com/ProfShafiei
- Email: Prof.Shafiei@Gmail.com


Top comments (0)