Red Hat vulnerabilities in Fedora Project vulnerabilities in OpenSuse vulnerabilities in Apple vulnerabilities in IBM vulnerabilities in Cisco vulnerabilities in Adobe vulnerabilities in Canonical vulnerabilities in NetApp vulnerabilities in SAP vulnerabilities in Mozilla vulnerabilities in F5 Networks vulnerabilities in Jenkins vulnerabilities in Apache vulnerabilities in Linux vulnerabilities in XSS The software does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users.
Improper Privilege Management The software does not properly assign, modify, track, or check privileges for an actor, creating an unintended sphere of control for that actor. Information Disclosure The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information.
Improper Input Validation The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly. Memory Corruption The software writes data past the end, or before the beginning, of the intended buffer. Typically, this can result in corruption of data, a crash, or code execution. The software may modify an index or perform pointer arithmetic that references a memory location that is outside of the boundaries of the buffer.
A subsequent write operation then produces undefined or unexpected results. Out-of-bounds Read The software reads data past the end, or before the beginning, of the intended buffer. Typically, this can allow attackers to read sensitive information from other memory locations or cause a crash. A crash can occur when the code reads a variable amount of data and assumes that a sentinel exists to stop the read operation, such as a NUL in a string. The expected sentinel might not be located in the out-of-bounds memory, causing excessive data to be read, leading to a segmentation fault or a buffer overflow.
A subsequent read operation then produces undefined or unexpected results. Buffer Overflow The software performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. Shell injection The software constructs all or part of an OS command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended OS command when it is sent to a downstream component.
SQL Injection The software constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Directory traversal The software uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the software does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory.
Classic Buffer Overflow The program copies an input buffer to an output buffer without verifying that the size of the input buffer is less than the size of the output buffer, leading to a buffer overflow. A buffer overflow condition exists when a program attempts to put more data in a buffer than it can hold, or when a program attempts to put data in a memory area outside of the boundaries of a buffer.
The simplest type of error, and the most common cause of buffer overflows, is the "classic" case in which the program copies the buffer without restricting how much is copied. How TCS secures its hybrid workforce. Metaverse gets touch of reality at CES. How BPCL is using digital to differentiate itself from competition. How organizations can power cloud enabled digital transformation. Why APIs are so important for fintechs. Fortunately, the evaluation of vulnerability databases that use a framework for communicating vulnerability attributes and their severity scores, such as the Common Vulnerability Scoring System CVSS , can help shed light on the nature of publicly published vulnerabilities.
In this paper, we characterize the software vulnerability landscape by performing a historical and statistical analysis of CVSS vulnerability metrics over the period of through using data from the National Vulnerability Database. Each vulnerability is assigned a CVSS vector that aggregates a set of vulnerability metrics.
We use these metrics to conduct four studies analyzing the following: the distribution of CVSS scores both empirical and theoretical , the distribution of CVSS metric values and how vulnerability characteristics change over time, the relative rankings of the most frequent metric value over time, and the most prevalent patterns of co-occurrence of the metrics.
Our resulting analysis shows that the vulnerability threat landscape has been dominated by only a few vulnerability types and has changed little during the time period of the study.
This article is more than 1 month old. Cybersecurity experts say Minecraft players have already exploited a software flaw to breach other users by pasting a short message in a chat box. Israeli spyware firm targeted Apple devices via iMessage, researchers say.
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