CVE-2022-30654 is a heap-based buffer overflow vulnerability (CWE-122) identified in Adobe InCopy versions 17.2 and earlier, as well as 16.4.1 and earlier. Adobe InCopy is a professional word processing software widely used in editorial workflows, often alongside Adobe InDesign, primarily in publishing and media organizations. The vulnerability arises from improper handling of heap memory during processing of certain file inputs, which can lead to a buffer overflow condition. This overflow can corrupt adjacent memory, potentially allowing an attacker to execute arbitrary code within the context of the current user. Exploitation requires user interaction, specifically the victim opening a maliciously crafted InCopy file. There are no known exploits in the wild as of the published date, and no official patches or CVSS scores have been provided. The vulnerability's medium severity rating reflects the combination of required user interaction and the potential for code execution. Since the attack vector involves opening a file, social engineering or phishing campaigns could be used to deliver the malicious payload. The lack of authentication requirements lowers the barrier for exploitation, but the need for user action limits the scope somewhat. The vulnerability impacts confidentiality, integrity, and availability by enabling arbitrary code execution, which could lead to data theft, manipulation, or system compromise depending on the privileges of the user running InCopy.

For European organizations, especially those in publishing, media, and creative industries where Adobe InCopy is commonly deployed, this vulnerability poses a significant risk. Successful exploitation could lead to unauthorized code execution, enabling attackers to steal sensitive editorial content, intellectual property, or internal communications. It could also serve as a foothold for lateral movement within corporate networks, potentially compromising broader IT infrastructure. Given that InCopy is often used on workstations with access to critical content and collaborative workflows, the integrity and availability of editorial projects could be disrupted, causing operational delays and financial losses. Additionally, organizations handling regulated or sensitive data may face compliance risks if data confidentiality is breached. The requirement for user interaction means that targeted spear-phishing campaigns could be an effective attack vector, increasing risk in environments with less mature security awareness. The absence of known exploits in the wild currently reduces immediate threat levels but does not eliminate the risk of future exploitation. Overall, the vulnerability could impact confidentiality, integrity, and availability of critical editorial and creative assets in European organizations.

1. Immediate deployment of the latest Adobe InCopy versions beyond 17.2 and 16.4.1 once official patches are released by Adobe. Monitor Adobe security advisories closely for updates. 2. Implement strict email and file attachment filtering to block or quarantine suspicious InCopy files, especially from unknown or untrusted sources. 3. Enhance user awareness training focused on recognizing phishing attempts and the risks of opening unsolicited or unexpected files, particularly InCopy documents. 4. Employ application whitelisting or sandboxing techniques to restrict the execution context of InCopy, limiting the potential impact of arbitrary code execution. 5. Use endpoint detection and response (EDR) solutions to monitor for anomalous behavior indicative of exploitation attempts, such as unusual memory usage or process spawning from InCopy. 6. Enforce the principle of least privilege for users running InCopy to minimize the potential damage from exploitation. 7. Regularly back up critical editorial and project data to enable recovery in case of compromise. 8. Network segmentation to isolate workstations running InCopy from sensitive backend systems can reduce lateral movement risk. These measures, combined, provide a layered defense that addresses both prevention and detection of exploitation attempts.