#dos

`OFPFlowStats` in parser.py in Faucet SDN Ryu 4.34 allows attackers to cause a denial of service (infinite loop) via `inst.length=0`.

`OFPBucket` in parser.py in Faucet SDN Ryu 4.34 allows attackers to cause a denial of service (infinite loop) via `action.len=0`.

`OFPMultipartReply` in parser.py in Faucet SDN Ryu 4.34 allows attackers to cause a denial of service (infinite loop) via `b.length=0`.

`OFPPacketQueue` in parser.py in Faucet SDN Ryu 4.34 allows attackers to cause a denial of service (infinite loop) via `OFPQueueProp.len=0`.

`OFPHello` in parser.py in Faucet SDN Ryu 4.34 allows attackers to cause a denial of service (infinite loop) via `length=0`.

By Waqas A new botnet called Goldoon targets D-Link routers and NAS devices putting them at risk of DDoS attacks and more. Learn how weak credentials leave you vulnerable and how to secure your network. pen_spark This is a post from HackRead.com Read the original post: New Goldoon Botnet Targeting D-Link Devices by Exploiting 9-Year-Old Flaw

### Summary An unsafe sanitization of dataset contents on the `MarkovData#getNext` method used in `Markov#generate` and `Markov#choose` allows a maliciously crafted string on the dataset to throw and stop the function from running properly. ### Details https://github.com/xiboon/kurwov/blob/0d58dfa42135ab40e830e92622857282f980ca89/src/MarkovData.ts#L38-L44 If a string contains a forbidden substring (i.e. `__proto__`) followed by a space character, the second line will access a special property in `MarkovData#finalData` by removing the last character of the string, bypassing the dataset sanitization (as it is supposed to be already sanitized before this function is called). `data` is then defined as the special function found in its prototype instead of an array. On the last line, `data` is then indexed by a random number, which is supposed to return a string but returns undefined as it's a function. Calling `endsWith` then throws. ### PoC https://runkit.com/embed/m6uu40r5ja9b ### ...

### Impact The capture_dependencies function in `sagemaker.serve.save_retrive.version_1_0_0.save.utils` module before version 2.214.3 allows for potentially unsafe Operating System (OS) Command Injection if inappropriate command is passed as the “requirements_path” parameter. This consequently may allow an unprivileged third party to cause remote code execution, denial of service, affecting both confidentiality and integrity. Impacted versions: <2.214.3 ### Credit We would like to thank HiddenLayer for collaborating on this issue through the coordinated vulnerability disclosure process. ### Workarounds Do not override the “requirements_path” parameter of capture_dependencies function in `sagemaker.serve.save_retrive.version_1_0_0.save.utils`, instead use the default value. ### References If you have any questions or comments about this advisory we ask that you contact AWS/Amazon Security via our vulnerability reporting page [1] or directly via email to [email protected]. ...

### Impact sagemaker.base_deserializers.NumpyDeserializer module before v2.218.0 allows potentially unsafe deserialization when untrusted data is passed as pickled object arrays. This consequently may allow an unprivileged third party to cause remote code execution, denial of service, affecting both confidentiality and integrity. Impacted versions: <2.218.0. ### Credit We would like to thank HiddenLayer for collaborating on this issue through the coordinated vulnerability disclosure process. ### Workarounds Do not pass pickled numpy object arrays which originated from an untrusted source, or that could have been tampered with. Only pass pickled numpy object arrays from sources you trust. ### References If you have any questions or comments about this advisory we ask that you contact AWS/Amazon Security via our vulnerability reporting page [1] or directly via email to [[email protected]](mailto:[email protected]). Please do not create a public GitHub issue. [1] Vu...

### Summary An attacker can send a specially crafted POST (multipart/form-data) request. When the aiohttp server processes it, the server will enter an infinite loop and be unable to process any further requests. ### Impact An attacker can stop the application from serving requests after sending a single request. ------- For anyone needing to patch older versions of aiohttp, the minimum diff needed to resolve the issue is (located in `_read_chunk_from_length()`): ```diff diff --git a/aiohttp/multipart.py b/aiohttp/multipart.py index 227be605c..71fc2654a 100644 --- a/aiohttp/multipart.py +++ b/aiohttp/multipart.py @@ -338,6 +338,8 @@ class BodyPartReader: assert self._length is not None, "Content-Length required for chunked read" chunk_size = min(size, self._length - self._read_bytes) chunk = await self._content.read(chunk_size) + if self._content.at_eof(): + self._at_eof = True return chunk async def _read_chunk_from_stre...