CVE-2026-107219: Excelize: Unbounded spinCount in agile decryption burns CPU during OpenFile
Opening a file whose first eight bytes are the OLE magic number sends excelize down the decryption path whether or not the caller set a password, or supports encrypted workbooks at all. `openReaderAt` (excelize.go:198-215) branches on the header alone, and `agileDecrypt` calls `convertPasswdToKey` before the verifier hash is checked, so the key-derivation loop runs `spinCount` times regardless. `spinCount` (crypt.go:98) is a plain `int` filled by a bare `xml.Unmarshal` of the file's own EncryptionInfo stream. Nothing bounds it. A 3072-byte file with spinCount 100000000 makes `OpenFile` take 58.65s on v2.11.0 with default options, then return `zip: not a valid zip file`. It is linear at about 0.6 microseconds per iteration and the attacker picks the number, so 1e9 is roughly ten minutes. Nothing on the path takes a `context.Context`, so the caller cannot cancel it; in an HTTP handler the write timeout returns a response while the goroutine keeps spinning. Memory stays flat at 24 MB, so nothing reclaims it either. ``` v2.5.0 spinCount=10000000 5.307s v2.9.1 spinCount=10000000 5.444s v2.11.0 spinCount=10000000 7.529s v2.11.0 spinCount=100000000 58.654s ``` The loop arrived with `crypt.go` in v2.3.1 and is unchanged through v2.11.0. Excel and LibreOffice write spinCount 100000, which costs 61ms here, so a ceiling well above the legitimate value would cost real files nothing. This is availability only, and it is not a vulnerability for a program that only opens files its own operator produced.
Recommended action
Recommended action
Upgrade affected packages to a patched version: github.com/xuri/excelize/v2 2.11.1-0.20260906004932-2badfcd5841d.
Technical details
- Vendor
- Not specified
- Product
- github.com/xuri/excelize/v2
- Exploitation
- none known
- Evidence
- official
Evidence and sources
This record is attributed to GitHub Advisories. Exploitation status and remediation guidance are kept separate from the vulnerability's technical severity.
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