The application does not properly restrict the number of threads created by the ExecutorService, which can lead to uncontrolled resource consumption and potentially cause a denial-of-service (DoS) attack.
Impact:
Uncontrolled resource consumption can lead to system instability, slow performance, or even crash due to excessive memory usage or CPU overload. It also poses a risk of DoS attacks if the application is overwhelmed by an overwhelming number of threads.
Mitigation:
Consider using bounded thread pools with a fixed size or dynamically adjusting pool sizes based on available resources. Alternatively, implement rate limiting mechanisms to prevent abuse.
Line:
45
OWASP Category:
A01:2021 - Broken Access Control
NIST 800-53:
CM-6 - Configuration Settings
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Immediate
The application uses Gson to deserialize untrusted JSON data from Kafka messages, which can lead to deserialization vulnerabilities if the library is vulnerable to exploits such as Java Deserialization Bug (CVE-2021-44228).
Impact:
An attacker could exploit this vulnerability by sending a specially crafted serialized object that, when deserialized, executes arbitrary code. This can lead to unauthorized access, data leakage, or system compromise.
Mitigation:
Use safer alternatives for deserialization such as Jackson or use custom serialization/deserialization methods with strict validation and whitelisting of allowed classes.
Line:
45
OWASP Category:
A06:2021 - Vulnerable Components
NIST 800-53:
CM-6 - Configuration Settings
CVSS Score:
9.8
Related CVE:
Priority:
Immediate
The application uses a default group ID configuration for the Kafka consumer, which can lead to unauthorized access and data leakage. The default group ID is susceptible to brute force attacks, allowing attackers to subscribe to multiple topics and consume large amounts of data.
Impact:
An attacker could exploit this vulnerability to gain unauthorized access to sensitive information by subscribing to all available topics or consuming excessive amounts of data from the Kafka cluster.
Mitigation:
Configure a unique group ID for each consumer instance, ensuring that it is not predictable. Additionally, limit the number of subscriptions per consumer to only necessary topics and avoid using default configurations unless explicitly required.
Line:
29-30
OWASP Category:
A05:2021-Security Misconfiguration
NIST 800-53:
AC-6, CM-6
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Immediate
The application submits tasks to an executor service without any restriction, which can lead to unauthorized API access. The task submission is based on the manulId from configuration, but there are no checks for valid or authorized access.
Impact:
An attacker could exploit this vulnerability by submitting malicious tasks that access unauthorized APIs, leading to data leakage and potential system compromise.
Mitigation:
Implement strict validation of the manulId against a whitelist of authorized IDs. Use higher-level authorization mechanisms such as role-based access control (RBAC) or attribute-based access control (ABAC) to ensure that only authorized tasks are submitted to the executor service.
Line:
52
OWASP Category:
A01:2021-Broken Access Control
NIST 800-53:
AC-6, AC-3
CVSS Score:
7.5
Related CVE:
None identified
Priority:
Immediate
The application deserializes the 'taskName' which is received from an untrusted source. This can lead to Remote Code Execution (RCE) if the deserialized data contains malicious payloads.
Impact:
An attacker could exploit this vulnerability to execute arbitrary code on the system, potentially gaining full control over the server where the application runs.
Mitigation:
Use a secure library for deserialization and ensure that all deserialized objects are validated before use. Consider using safer alternatives like Jackson or Gson with strict type checks.
Line:
45
OWASP Category:
A06:2021-Vulnerable Components
NIST 800-53:
IA-2, SI-16
CVSS Score:
9.8
Related CVE:
Pattern-based finding
Priority:
Immediate
The application uses the deprecated 'Calendar.getInstance().getTimeInMillis()' method, which is considered insecure and can lead to potential security issues.
Impact:
Using deprecated APIs exposes the system to vulnerabilities that could be exploited by an attacker, potentially leading to unauthorized access or data leakage.
Mitigation:
Replace the use of 'Calendar.getInstance().getTimeInMillis()' with a more secure method such as 'System.currentTimeMillis()'. Ensure that all code is updated to utilize the latest security practices and APIs.
Line:
23-25
OWASP Category:
A07:2021-Authentication Failures
NIST 800-53:
IA-2, SI-16
CVSS Score:
7.5
Related CVE:
None identified
Priority:
Immediate
The application deserializes user input without proper validation or type checking, which can lead to remote code execution vulnerabilities. This is a critical issue as it allows attackers to exploit the system by manipulating serialized objects.
Impact:
An attacker could execute arbitrary code on the server with the privileges of the application process, potentially leading to complete compromise of the system.
Mitigation:
Implement proper validation and type checking for deserialized data. Consider using safer alternatives such as JSON or XML parsers that do not support object deserialization by default. Use libraries and frameworks that are known to be secure against deserialization attacks.
Line:
N/A
OWASP Category:
A06:2021-Vulnerable Components
NIST 800-53:
IA-2, IA-5
CVSS Score:
9.8
Related CVE:
Pattern-based finding
Priority:
Immediate
The application deserializes user input without proper validation or type checking, which can lead to remote code execution if an attacker can control the serialized data.
Impact:
An attacker could exploit this vulnerability to execute arbitrary code on the server. The impact is high due to the potential for remote code execution and unauthorized access to sensitive information.
Mitigation:
Use secure deserialization practices, such as disabling the ability to deserialize objects from untrusted sources or using a serialization library with built-in protections against deserialization vulnerabilities.
Line:
N/A
OWASP Category:
A06:2021-Vulnerable Components
NIST 800-53:
IA-2, IA-5
CVSS Score:
9.8
Related CVE:
Pattern-based finding
Priority:
Immediate
The application does not properly validate user input, which allows for the possibility of sending unintended HTTP requests to internal endpoints.
Impact:
An attacker can exploit this vulnerability to make the application send unauthorized requests to internal systems. The impact is high due to potential unauthorized access and data leakage.
Mitigation:
Implement strict validation and sanitization of all user inputs, including checking for valid internal endpoints before processing them.
Line:
N/A
OWASP Category:
A10:2021-Server-Side Request Forgery
NIST 800-53:
AC-2, AC-3
CVSS Score:
7.5
Related CVE:
Priority:
Immediate
The application does not properly handle exceptions, particularly when accessing configuration settings or deserializing data. This can lead to unexpected behavior and potentially disclose sensitive information.
Impact:
Improper error handling can expose internal details of the system that might be useful for an attacker. It also reduces the overall robustness of the application by failing to provide meaningful feedback to users in case of errors.
Mitigation:
Implement robust exception handling mechanisms, including logging and user-friendly messages for common issues like configuration file read failures or JSON parsing errors.
Line:
45
OWASP Category:
A01:2021 - Broken Access Control
NIST 800-53:
AC-2 - Account Management
CVSS Score:
6.5
Related CVE:
N/A
Priority:
Short-term
The application uses the default auto offset reset configuration 'earliest' for Kafka consumer, which can lead to data loss and replay attacks. This setting causes the consumer to start from the earliest available offset in case of group rebalances or disconnections.
Impact:
An attacker could exploit this vulnerability by causing a disconnect during data processing, resulting in the loss of messages or their replay for further exploitation.
Mitigation:
Consider using a more restrictive auto offset reset configuration such as 'none' and implement proper handling for rebalance events to ensure no data is lost. Alternatively, use higher-level consumer libraries that manage offsets automatically.
Line:
34
OWASP Category:
A05:2021-Security Misconfiguration
NIST 800-53:
CM-6
CVSS Score:
5.3
Related CVE:
None identified
Priority:
Short-term
The application does not properly handle exceptions, leading to potential information disclosure and loss of control over the error messages that are exposed.
Impact:
An attacker could exploit this vulnerability to gain insight into the system's internal workings, potentially leading to further exploitation or unauthorized access.
Mitigation:
Implement proper exception handling mechanisms with logging and monitoring. Ensure that sensitive information is not exposed in error messages and that user-friendly but secure error messages are provided.
Line:
45-52
OWASP Category:
A09:2021-Security Logging Failures
NIST 800-53:
AU-2, SI-2
CVSS Score:
6.5
Related CVE:
None identified
Priority:
Short-term
The class variable 'manualId' is stored in plain text without any encryption or obfuscation. This makes it vulnerable to theft via data breaches.
Impact:
Sensitive information could be accessed by unauthorized users, leading to privacy violations and potential misuse of the manual ID for further attacks.
Mitigation:
Consider using secure methods such as hashing or salting the 'manualId' field during storage. Additionally, ensure that all sensitive data is encrypted at rest in compliance with relevant data protection regulations.
Line:
OWASP Category:
A02:2021 - Cryptographic Failures
NIST 800-53:
SC-28 - Protection of Information at Rest
CVSS Score:
1.9
Related CVE:
Priority:
Short-term
The Payload class constructor does not perform any validation or sanitization on the parameters file, sourceId, sessionId, and manualId. This can lead to potential injection vulnerabilities if these fields are used in SQL queries or other data processing operations.
Impact:
If these parameters are passed into a database query without proper sanitization, it could lead to SQL Injection attacks resulting in unauthorized access or data leakage.
Mitigation:
Consider adding input validation and sanitization mechanisms for all constructor parameters. For example, you can use regular expressions to restrict the format of the strings being assigned to these fields.
Line:
6-9
OWASP Category:
A01:2021-Broken Access Control
NIST 800-53:
IA-2, SI-10
CVSS Score:
4.3
Related CVE:
Pattern-based finding
Priority:
Short-term