CVE-2025-14531
Unknown Unknown - Not Provided
BaseFortify

Publication date: 2025-12-11

Last updated on: 2026-04-29

Assigner: VulDB

Description
A vulnerability was found in code-projects Rental Management System 2.0. This affects an unknown function of the file Transaction.java of the component Log Handler. Performing manipulation results in crlf injection. The attack can be initiated remotely. The exploit has been made public and could be used.
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Meta Information
Published
2025-12-11
Last Modified
2026-04-29
Generated
2026-05-07
AI Q&A
2025-12-11
EPSS Evaluated
2026-05-05
NVD
EUVD
Affected Vendors & Products
Showing 1 associated CPE
Vendor Product Version / Range
carmelo rental_management_system 2.0
Helpful Resources
Exploitability
CWE
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KEV
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CWE ID Description
CWE-74 The product constructs all or part of a command, data structure, or record using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify how it is parsed or interpreted when it is sent to a downstream component.
CWE-93 The product uses CRLF (carriage return line feeds) as a special element, e.g. to separate lines or records, but it does not neutralize or incorrectly neutralizes CRLF sequences from inputs.
Attack-Flow Graph
AI Powered Q&A
Can you explain this vulnerability to me?

This vulnerability exists in the Rental Management System 2.0, specifically in an unknown function within the Transaction.java file of the Log Handler component. It allows an attacker to perform CRLF (Carriage Return Line Feed) injection remotely by manipulating the system. This type of injection can alter the way logs or responses are processed or displayed.


How does this vulnerability affect compliance with common standards and regulations (like GDPR, HIPAA)?:

This vulnerability compromises the integrity and trustworthiness of audit data by allowing attackers to tamper with audit records through CRLF injection. Such manipulation of logs can hinder accurate record-keeping and auditing processes, which are critical for compliance with standards and regulations like GDPR and HIPAA that require reliable audit trails and data integrity. Therefore, the vulnerability poses a risk to compliance by potentially enabling falsification or disruption of audit logs. [3]


How can this vulnerability be detected on my network or system? Can you suggest some commands?

This vulnerability can be detected by inspecting transaction log files for unexpected CRLF (Carriage Return Line Feed) sequences injected into user-controlled fields such as customer name, location, or contact details. Look for log entries that contain suspicious line breaks or forged entries that disrupt normal log formatting. Since the vulnerability involves injection into logs, commands that search for CR (\r) or LF (\n) characters in log files may help. For example, using grep to find suspicious patterns: grep -P '\r|\n' transaction.log or grep -nE '\r|\n' transaction.log. Additionally, monitoring for anomalies in log parsing or export processes (e.g., CSV or Excel exports) can indicate exploitation attempts. [3]


What immediate steps should I take to mitigate this vulnerability?

Immediate mitigation steps include sanitizing or escaping all user inputs before writing them to log files to remove or neutralize CR and LF characters. Adopting structured logging formats such as JSON or using databases for storing records can prevent injection attacks. When exporting log data to CSV or Excel formats, apply appropriate escaping techniques to prevent formula injection. If possible, consider replacing or updating the affected component or product to a version without this vulnerability, as no known countermeasures are currently identified. [1, 3]


How does this vulnerability affect compliance with common standards and regulations (like GDPR, HIPAA)?:

This vulnerability compromises the integrity and trustworthiness of audit logs by allowing attackers to tamper with audit records and insert forged entries. Such manipulation of audit data can hinder accurate record-keeping and monitoring, which are critical for compliance with standards and regulations like GDPR and HIPAA that require reliable audit trails and data integrity. Therefore, the vulnerability poses a risk to compliance by undermining the reliability of logs used for auditing and accountability. [3]


How can this vulnerability be detected on my network or system? Can you suggest some commands?

This vulnerability can be detected by inspecting transaction log files for unexpected CRLF (Carriage Return Line Feed) sequences injected into user input fields such as customer name, location, or contact details. You can search logs for suspicious entries containing '\r' or '\n' characters that break log line structure. For example, using command-line tools like grep to find CR or LF characters in logs: `grep -P '\r|\n' transaction.log` or `grep -n $'\r' transaction.log`. Additionally, monitoring for anomalies in log parsing or audit record integrity may indicate exploitation attempts. [3]


What immediate steps should I take to mitigate this vulnerability?

Immediate mitigation steps include sanitizing or escaping all user inputs before writing them to log files to remove or neutralize CRLF characters. Consider adopting structured logging formats such as JSON or using databases for storing records instead of plain text logs. When exporting log data to CSV or Excel formats, apply appropriate escaping techniques to prevent formula injection attacks. If possible, replace or update the affected component or product to a version without this vulnerability. [1, 3]


How can this vulnerability impact me? :

The vulnerability can be exploited remotely to perform CRLF injection, which may allow an attacker to manipulate log files or HTTP responses. This could lead to issues such as log forging, HTTP response splitting, or other injection-based attacks that compromise the integrity of logs or web responses, potentially misleading administrators or users.


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