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Search Results (4 CVEs found)
| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2026-75531 | 1 Pandora-analysis | 1 Pandora | 2026-08-17 | N/A |
| Pandora contains a stored cross-site scripting (XSS) vulnerability in the rendering of URL observables. A URL extracted from or associated with an analyzed file was inserted directly into the inline JavaScript onclick handler used by the Submit to Lookyloo action. Although the value was subject to HTML escaping by the template engine, it was embedded inside a JavaScript string within an HTML attribute. An attacker-controlled URL containing specially crafted characters could therefore break out of the JavaScript string and inject arbitrary JavaScript code. The malicious script would execute in the context of the Pandora web application when a victim interacts with the affected Submit to Lookyloo control. Successful exploitation could allow an attacker to access information available to the victim's browser or perform actions using the victim's authenticated Pandora session. The patch removes the observable value from the inline JavaScript handler. The URL is instead stored in an HTML data-url attribute and retrieved through the DOM dataset API when needed. Additional uses of innerHTML were also replaced with textContent as defensive hardening. | ||||
| CVE-2026-75529 | 1 Pandora-analysis | 1 Pandora | 2026-08-17 | N/A |
| Pandora is affected by a stored cross-site scripting vulnerability in the PDF download functionality. The /task-download/<task_id>/.../pdf endpoint verifies that the submitted file is a PDF using Pandora's content-based file-type detection, but previously returned the file using send_file(task.file.path) without explicitly specifying the MIME type or forcing it to be downloaded as an attachment. Because Flask determines the response MIME type from the filename when a path is supplied, an attacker could submit a file whose content is recognized by Pandora as a PDF while its filename or extension causes the download endpoint to return it with a different, potentially active MIME type. A specially crafted PDF/polyglot file could therefore be served inline and interpreted by a victim's browser as HTML or another executable web format. If a victim with access to the submitted analysis follows the PDF download link, attacker-controlled script could execute in the security context of the Pandora application, potentially allowing access to application data or actions using the victim's session. The patch prevents the issue by explicitly returning PDF downloads with Content-Type: application/pdf, forcing Content-Disposition: attachment, and assigning a trusted .pdf filename based on the task UUID. | ||||
| CVE-2026-74764 | 1 Pandora-analysis | 1 Pandora | 2026-08-17 | N/A |
| Pandora contains a path traversal vulnerability in its TAR archive extraction functionality. When processing a submitted TAR archive, the extractor passed archive member names directly to Python's tarfile.TarFile.extract() without applying an extraction filter. An attacker able to submit a specially crafted TAR archive containing malicious member paths, such as paths using ../ sequences or absolute paths, could cause extracted files to be written outside the intended extraction directory. This may allow the attacker to overwrite files accessible to the Pandora worker process and could potentially result in application compromise, arbitrary code execution, or denial of service depending on the files targeted and the privileges of the Pandora process. The vulnerability is corrected by using Python's filter='data' extraction filter, which rejects or sanitizes dangerous TAR members, including paths that escape the destination directory and unsafe link targets. The weakness corresponds to MITRE's general path traversal category, which includes archive extraction cases where attacker-controlled filenames cause files to be written outside the intended directory. | ||||
| CVE-2026-74767 | 1 Pandora-analysis | 1 Pandora | 2026-08-17 | N/A |
| Pandora contains a denial-of-service vulnerability in its handling of DAA (Direct Access Archive) files. When extracting the internal ISO image from a DAA archive, compressed chunks were decompressed using zlib.decompress() without enforcing a limit on the resulting uncompressed data. An attacker able to submit a crafted DAA file containing highly compressed data could cause Pandora to decompress a relatively small input into a very large amount of data in memory. Because the decompressed chunks are accumulated to construct the internal ISO image, this could result in excessive memory consumption and potentially CPU exhaustion, causing the extraction worker to become unresponsive, terminate, or affect the availability of the Pandora service. The patch introduces bounded decompression using decompressobj().decompress() with max_extracted_filesize, verifies the cumulative size of decompressed chunks, and raises a dedicated ZipBomb exception when the configured limit is exceeded. Pandora then aborts extraction and reports the file as too large. | ||||
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