Attack Chain

1. An attacker crafts a malicious XLSX file containing an XML <row> element with a large r attribute (e.g., <row r="999999999"/>).
2. The attacker uploads the malicious XLSX file to a web application or system that uses PhpSpreadsheet to process spreadsheet files.
3. The PhpSpreadsheet library, specifically the IOFactory::createReader('Xlsx') component, is used to read the uploaded file.
4. During the parsing process, the ColumnAndRowAttributes::readRowAttributes() method reads the large row number from the XML attribute.
5. The large row number is then used to update the cachedHighestRow property in the Worksheet object, effectively setting it to a very high value.
6. A subsequent operation that iterates over rows using getRowIterator() or retrieves the highest row using getHighestRow() triggers a loop that iterates up to the inflated cachedHighestRow value.
7. The excessive number of loop iterations consumes a significant amount of CPU resources, leading to a denial-of-service condition.
8. The application becomes unresponsive or crashes due to the CPU exhaustion.

Impact

Successful exploitation of this vulnerability leads to a CPU denial of service. A small, 1.6KB crafted XLSX file can trigger almost one billion iterations, causing the system to become unresponsive for an extended period (estimated at ~144 seconds per file). This impacts any application using getRowIterator() or getHighestRow() methods, making the system unavailable. Applications processing the spreadsheet may also exhaust memory if they attempt to accumulate data during the iteration process. The high amplification factor (small input leading to massive CPU consumption) makes this vulnerability particularly dangerous, especially in web applications that process user-supplied spreadsheets.

Recommendation

• Apply the recommended fix by adding row bounds validation in readRowAttributes() to check if $rowIndex is within the acceptable range (1 to AddressRange::MAX_ROW). This is the primary recommendation from the source advisory.
• Deploy the Sigma rule Detect PhpSpreadsheet Excessive Row Iteration to detect processes that may be attempting to process XLSX files with extremely high row numbers, indicating a potential exploitation attempt.
• Monitor web server logs for suspicious file uploads, specifically XLSX files with unusually small sizes, which might indicate an attempt to upload a malicious file exploiting this vulnerability.