DDoS-Ripper: what palahsu/DDoS-Ripper actually ships, and who should not install it

What palahsu/DDoS-Ripper is, and the audience it actually addresses

DDoS-Ripper is a Python script that generates traffic toward a target address. The README describes it as a "Distributable Denied-of-Service (DDOS) attack server that cuts off targets or surrounding infrastructure in a flood of Internet traffic", and the same paragraph explains the concept in general terms: many compromised machines send traffic at once, and the effect is compared to a traffic jam that stops normal traffic from arriving. That is a description of denial of service as a category, not a description of what this particular script does internally, and the gap matters.

The repository is a single top-level Python file, DRipper.py, plus a LICENSE, a README, a headers.txt file and a zip archive named DDoS-Ripper Pro.zip. There is also a DRipper Free/ directory and an epic.gif.mp4. The topics list on the repository page includes attack-defense, ddos-protection and web-security alongside ddos-attack-tool and hacking-tool, which suggests the author expects two kinds of visitors: people looking for an attack script and people studying one. The README addresses the first group with usage examples and the second only implicitly, through the disclaimer.

Who is this for, then? The README says it is "made for just testing purpose" and "Only for Educational Purpose", and asks users to report problems on GitHub or Telegram. That framing puts the intended audience somewhere between a security student reading Python and a penetration tester who already has written authorisation for the target. It does not put the script in the hands of someone who wants to take a service offline, even though the usage section makes that trivially easy to attempt.

The mechanism visible in DRipper.py: a script, two flags, and an undocumented header file

The README documents one invocation form and one example. The form is python3 DRipper.py -s [ip Address] -t 135, and the example fills in a placeholder address with -s 0.00.00.00. So the script takes a source or target address through -s and a numeric value through -t, and the example uses 135 for that second flag. The README never says what -t controls. It could be a thread count, a duration, a packet size or a port; the documentation is silent, and guessing from the number 135 alone would be inventing a fact.

What can be stated from the repository layout is that DRipper.py is the only executable entry point, that it has no package manifest, no setup.py, no requirements.txt and no pyproject.toml at the top level, and that headers.txt sits next to it. A file of that name in the same directory as a traffic script usually holds HTTP request headers, which would imply the script can speak HTTP rather than raw sockets, but the README does not mention headers.txt at all. If you want to know whether DRipper.py reads it, the answer is in the source, not in the documentation.

The same applies to the DDoS-Ripper Pro.zip archive and the DRipper Free/ directory. The README does not explain the difference between the free and Pro versions, does not list what is inside the zip, and does not say whether Pro is a paid tier. The only commercial signal in the README is an image link pointing at ipstress.st with a referral parameter, which is a stress-testing service, not part of the script. That is a referral arrangement, and the README does not disclose it as one.

Installing DDoS-Ripper on Termux, Debian, Windows and macOS

The README gives separate instructions per platform, and they differ only in how Python and git are obtained. On Termux, the sequence installs git and Python through pkg, clones the repository, changes into it and runs the script. The README also lists ls after cd, which is just a directory listing, not a required step.

pkg install git -y
pkg install python -y
pkg install python3 -y
git clone https://github.com/palahsu/DDoS-Ripper.git
cd DDoS-Ripper
python3 DRipper.py

On Debian-based distributions the README swaps pkg for apt and notes that either python3 or python2 can run the file. That python2 line is worth pausing on: Python 2 reached end of life years ago, and the README offers it without comment.

sudo apt install git
git clone https://github.com/palahsu/DDoS-Ripper.git
cd DDoS-Ripper
python3 DRipper.py

For Windows the README shows the same clone and cd, then python3 DRipper.py or python DRipper.py, followed by the usage line. For macOS it says only to install Brew and a Python 3 dependency, with no commands. The README also carries a note at the top asking you to make sure Python 3 is installed.

Running the script with no arguments is the first real use the README shows, and on every platform it is the same command. What you should see is not described anywhere in the README, so the only honest expectation to set is that the script either prints usage text or starts doing whatever its argument parser defaults to. The documented usage, once you have a target you are authorised to test, is:

python3 DRipper.py -s 0.00.00.00 -t 135

Replace the placeholder with an address you control. The README gives no output sample, no success message and no exit code, so treat the first run as an experiment on your own machine or a lab host.

Where DDoS-Ripper fails as a tool: no versioning, no tests, no scope control

The repository has no releases. There is no tagged version, no changelog and no release notes, so there is no way to pin a known-good revision or to know what changed between two commits. For a script that generates traffic, that is a real operational problem: you cannot reproduce a previous run's behaviour because you cannot name the version you ran.

There is also no test suite, no CI configuration visible in the top-level entries, and no dependency manifest. A Python file with no requirements.txt either uses only the standard library or expects you to install things yourself; the README does not say which. If it imports a third-party HTTP library, you will find out from a traceback, not from the documentation.

The more important failure mode is scope. The README says the tool is for testing and that the authors are "not responsible for any abuse or damage caused by this program", but nothing in the described workflow asks for a target you own, a time limit, a rate ceiling or a stop condition. A script whose documented usage is an address plus a number has no built-in notion of authorisation. Used against anything you do not control, it is not a testing tool; it is an attack, and the README's own note asking users not to use it "for revenge" acknowledges that gap between stated purpose and likely use.

Finally, the second flag is undocumented. A user cannot reason about blast radius without knowing whether -t 135 means 135 threads, 135 seconds or 135 bytes. That single missing sentence is the difference between a controlled test and an accident.

What to use instead when you actually need to test a service under load

If the goal is to find out how a service behaves under heavy traffic, the right class of tool is a load generator with an explicit request rate, a duration and a report. ApacheBench, wrk, k6 and Locust all fit that description, and they differ from DDoS-Ripper in a way that is not cosmetic: they are built to measure a response, not just to produce one. A load generator tells you latency percentiles, error rates and throughput as the load rises. DRipper.py, as documented, takes an address and a number and gives you no output contract at all.

The second difference is consent. Load generators are normally pointed at staging environments, and their configuration files record the target, the concurrency and the duration in a form you can review before running. That review step is the whole point. With DDoS-Ripper the README shows a one-line command and no configuration file, so there is nothing to review and nothing to hand to a colleague for approval.

If the interest is defensive rather than offensive, the same repository topics that list ddos-attack-tool also list ddos-protection and attack-defense, and the honest alternative there is a traffic-analysis or rate-limiting exercise on infrastructure you own. Reading DRipper.py to understand how a simple flood script is structured is legitimate. Running it against a third party is not, and no disclaimer in a README changes that.

Maintenance, licensing and what MPL-2.0 means here

The repository is not archived, and the last push was on 2026-06-20. That is a recent commit, but the README still documents python2 as an option and still points at a Telegram group for support, which suggests the file has accumulated edits over time rather than being maintained against a plan. There are no releases to upgrade between, so "upgrading" means pulling the latest commit from main and re-reading DRipper.py, since there is no changelog to tell you what moved.

The licence is MPL-2.0, the Mozilla Public License 2.0. MPL-2.0 is a file-level copyleft licence: modifications to covered source files must be made available under the same licence, while larger works that combine the covered files with other code can be distributed under different terms. For a single-file script this is close to the practical question of whether you may redistribute a modified DRipper.py. The LICENSE file is in the repository; read it there rather than relying on a summary, and note that the README's disclaimer about abuse is not a licence term and carries no legal weight on its own.

The referral link to ipstress.st is worth flagging for a different reason. If the project is distributed with a commercial referral embedded in its documentation, anyone evaluating it for internal use should decide whether that is acceptable in their environment before the script reaches a build image.

Editorial conclusion

DDoS-Ripper is worth reading only as a case study in how a flood script is packaged and documented; it is not a tool to point at anything you do not own, and the README itself asks users not to use it for revenge. Before running anything, open DRipper.py in an editor and read the argparse block, because the README documents exactly two flags, -s and -t, and nothing about the headers.txt file sitting at the repository root. If you need to measure how a service behaves under load, use a load generator with a target you control and a written authorisation, not this.

Frequently asked questions

Official sources

1. Issues
2. License: MPL-2.0
3. palahsu/DDoS-Ripper on GitHub
4. README