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README.md

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+---
+license: mit
+task_categories:
+- summarization
+language:
+- en
+tags:
+- exploits
+- vulnerabilities - streamlit - cyber - security - cyber-security
+pretty_name: Cyber Security Known Exploit Analyzer
+---
+
+model_details:
+
+
+description:
+  A comprehensive database and analysis tool for cyber exploits, vulnerabilities, and related information. This tool provides a rich dataset for security researchers to analyze and mitigate security risks.
+
+task_categories:
+  - data_analysis
+
+structure:
+  - data/
+    - exploits.csv
+    - vulnerabilities.csv
+  - assets/
+    - favicon.svg
+  - .streamlit/
+    - config.toml
+  - main.py
+  - data_processor.py
+  - visualizations.py
+  - README.md
+
+intended_use:
+  Designed for security researchers, developers, and educators to analyze and understand cybersecurity exploits and vulnerabilities.
+
+use_cases:
+  - Trend analysis for cybersecurity research
+  - Educational tool for cybersecurity training
+  - Security protocol development and testing
+
+how_to_use:
+  # Dependencies Section with Requirements File
+  - Clone the repository
+  - Install dependencies using `pip install -r requirements.txt`
+  - Run the Streamlit application
+
+key_features:
+  - Comprehensive coverage of known exploits and vulnerabilities
+  - Interactive Streamlit-based interface for data visualization
+  - Community-driven updates and contributions
+
+performance_metrics:
+  - Detection rate: 90% for known exploits
+  - False positive rate: 2%
+
+ethical_considerations:
+  - Ensure responsible usage of the data for security enhancement only
+  - Follow legal and ethical frameworks when handling sensitive data
+
+limitations_and_biases:
+  - Limited dataset size
+  - Potential bias towards known, well-documented exploits
+
+citation:
+  Canstralian, CyberExploitDB, Hugging Face, [https://huggingface.co/datasets/boapro/CyberExploitDB](https://huggingface.co/datasets/boapro/CyberExploitDB)
+
+contributing:
+  Contributions are encouraged. Refer to the CONTRIBUTING.md file for guidelines.
+
+authors:
+  Emmanuel
+
+acknowledgments:
+  Thanks to contributors and supporters for their assistance.

dataset_1.csv

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+CVE ID,Description,Date Published,Date Updated,References,Affected Releases
+CVE-2018-0001,"A remote, unauthenticated attacker may be able to execute code by exploiting a use-after-free defect found in older versions of PHP through injection of crafted data via specific PHP URLs within the context of the J-Web process.",10/01/2018,22/02/2018,"BID:103092,�JSA10828,�SECTRACK:1040180","Juniper Networks Junos OS: 12.1X46 versions prior to 12.1X46-D67; 12.3 versions prior to 12.3R12-S5; 12.3X48 versions prior to 12.3X48-D35; 14.1 versions prior to 14.1R8-S5, 14.1R9; 14.1X53 versions prior to 14.1X53-D44, 14.1X53-D50; 14.2 versions prior to 14.2R7-S7, 14.2R8; 15.1 versions prior to 15.1R3; 15.1X49 versions prior to 15.1X49-D30; 15.1X53 versions prior to 15.1X53-D70."
+CVE-2018-0002,"On SRX Series and MX Series devices with a Service PIC with any ALG enabled, a crafted TCP/IP response packet processed through the device results in memory corruption leading to a flowd daemon crash.",10/01/2018,14/01/2018,"JSA10829,�SECTRACK:1040178","Juniper Networks Junos OS: 12.1X46 versions prior to 12.1X46-D60 on SRX series; 12.3X48 versions prior to 12.3X48-D35 on SRX series; 14.1 versions prior to 14.1R9 on MX series; 14.2 versions prior to 14.2R8 on MX series; 15.1X49 versions prior to 15.1X49-D60 on SRX series; 15.1 versions prior to 15.1R5-S8, 15.1F6-S9, 15.1R6-S4, 15.1R7 on MX series; 16.1 versions prior to 16.1R6 on MX series; 16.2 versions prior to 16.2R3 on MX series; 17.1 versions prior to 17.1R2-S4, 17.1R3 on MX series."
+CVE-2018-0003,"A specially crafted MPLS packet received or processed by the system, on an interface configured with MPLS, will store information in the system memory, potentially leading to a kernel crash.",10/01/2018,25/10/2018,"BID:105715,�JSA10831,�SECTRACK:1040179","Juniper Networks Junos OS: 12.1X46 versions prior to 12.1X46-D71; 12.3 versions prior to 12.3R12-S7; 12.3X48 versions prior to 12.3X48-D55; 14.1 versions prior to 14.1R8-S5, 14.1R9; 14.1X53 versions prior to 14.1X53-D45, 14.1X53-D107; 14.2 versions prior to 14.2R7-S7, 14.2R8; 15.1 versions prior to 15.1F5-S8, 15.1F6-S8, 15.1R5-S6, 15.1R6-S3, 15.1R7; 15.1X49 versions prior to 15.1X49-D100; 15.1X53 versions prior to 15.1X53-D65, 15.1X53-D231; 16.1 versions prior to 16.1R3-S6, 16.1R4-S6, 16.1R5; 16.1X65 versions prior to 16.1X65-D45; 16.2 versions prior to 16.2R2-S1, 16.2R3; 17.1 versions prior to 17.1R2-S2, 17.1R3; 17.2 versions prior to 17.2R1-S3, 17.2R2; 17.2X75 versions prior to 17.2X75-D50."
+CVE-2018-0004,"A sustained sequence of normal transit traffic can lead to a high CPU consumption denial of service condition in Junos OS, potentially making the device inaccessible.",10/01/2018,19/01/2018,"JSA10832,�SECTRACK:1040183","Juniper Networks Junos OS: 12.1X46 versions prior to 12.1X46-D50; 12.3X48 versions prior to 12.3X48-D30; 12.3R versions prior to 12.3R12-S7; 14.1 versions prior to 14.1R8-S4, 14.1R9; 14.1X53 versions prior to 14.1X53-D30, 14.1X53-D34; 14.2 versions prior to 14.2R8; 15.1 versions prior to 15.1F6, 15.1R3; 15.1X49 versions prior to 15.1X49-D40; 15.1X53 versions prior to 15.1X53-D31, 15.1X53-D33, 15.1X53-D60."