Sentence Similarity
sentence-transformers
Safetensors
mpnet
feature-extraction
Generated from Trainer
dataset_size:2775
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Instructions to use sindsub/cybersec-mpnet-finetuned-round3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sindsub/cybersec-mpnet-finetuned-round3 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sindsub/cybersec-mpnet-finetuned-round3") sentences = [ "In CAPEC-177, what is a critical prerequisite for the attack to succeed?", "The directories the target application searches first must be writable by the attacker.", "Adversaries may modify host software binaries to establish persistent access to systems. Software binaries/executables provide a wide range of system commands or services, programs, and libraries. Common software binaries are SSH clients, FTP clients, email clients, web browsers, and many other user or server applications.\n\nAdversaries may establish persistence though modifications to host software binaries. For example, an adversary may replace or otherwise infect a legitimate application binary (or support files) with a backdoor. Since these binaries may be routinely executed by applications or the user, the adversary can leverage this for persistent access to the host. An adversary may also modify a software binary such as an SSH client in order to persistently collect credentials during logins (i.e., [Modify Authentication Process](https://attack.mitre.org/techniques/T1556)).(Citation: Google Cloud Mandiant UNC3886 2024)\n\nAn adversary may also modify an existing binary by patching in malicious functionality (e.g., IAT Hooking/Entry point patching)(Citation: Unit42 Banking Trojans Hooking 2022) prior to the binary’s legitimate execution. For example, an adversary may modify the entry point of a binary to point to malicious code patched in by the adversary before resuming normal execution flow.(Citation: ESET FontOnLake Analysis 2021)\n\nAfter modifying a binary, an adversary may attempt to impair defenses by preventing it from updating (e.g., via the `yum-versionlock` command or `versionlock.list` file in Linux systems that use the yum package manager).(Citation: Google Cloud Mandiant UNC3886 2024)", "Adversaries may perform Network Denial of Service (DoS) attacks to degrade or block the availability of targeted resources to users. Network DoS can be performed by exhausting the network bandwidth services rely on. Example resources include specific websites, email services, DNS, and web-based applications. Adversaries have been observed conducting network DoS attacks for political purposes(Citation: FireEye OpPoisonedHandover February 2016) and to support other malicious activities, including distraction(Citation: FSISAC FraudNetDoS September 2012), hacktivism, and extortion.(Citation: Symantec DDoS October 2014)\n\nA Network DoS will occur when the bandwidth capacity of the network connection to a system is exhausted due to the volume of malicious traffic directed at the resource or the network connections and network devices the resource relies on. For example, an adversary may send 10Gbps of traffic to a server that is hosted by a network with a 1Gbps connection to the internet. This traffic can be generated by a single system or multiple systems spread across the internet, which is commonly referred to as a distributed DoS (DDoS).\n\nTo perform Network DoS attacks several aspects apply to multiple methods, including IP address spoofing, and botnets.\n\nAdversaries may use the original IP address of an attacking system, or spoof the source IP address to make the attack traffic more difficult to trace back to the attacking system or to enable reflection. This can increase the difficulty defenders have in defending against the attack by reducing or eliminating the effectiveness of filtering by the source address on network defense devices.\n\nFor DoS attacks targeting the hosting system directly, see [Endpoint Denial of Service](https://attack.mitre.org/techniques/T1499)." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!