mirror of https://github.com/python/cpython
gh-95778: Correctly pre-check for int-to-str conversion (#96537)
Converting a large enough `int` to a decimal string raises `ValueError` as expected. However, the raise comes _after_ the quadratic-time base-conversion algorithm has run to completion. For effective DOS prevention, we need some kind of check before entering the quadratic-time loop. Oops! =) The quick fix: essentially we catch _most_ values that exceed the threshold up front. Those that slip through will still be on the small side (read: sufficiently fast), and will get caught by the existing check so that the limit remains exact. The justification for the current check. The C code check is: ```c max_str_digits / (3 * PyLong_SHIFT) <= (size_a - 11) / 10 ``` In GitHub markdown math-speak, writing $M$ for `max_str_digits`, $L$ for `PyLong_SHIFT` and $s$ for `size_a`, that check is: $$\left\lfloor\frac{M}{3L}\right\rfloor \le \left\lfloor\frac{s - 11}{10}\right\rfloor$$ From this it follows that $$\frac{M}{3L} < \frac{s-1}{10}$$ hence that $$\frac{L(s-1)}{M} > \frac{10}{3} > \log_2(10).$$ So $$2^{L(s-1)} > 10^M.$$ But our input integer $a$ satisfies $|a| \ge 2^{L(s-1)}$, so $|a|$ is larger than $10^M$. This shows that we don't accidentally capture anything _below_ the intended limit in the check. <!-- gh-issue-number: gh-95778 --> * Issue: gh-95778 <!-- /gh-issue-number --> Co-authored-by: Gregory P. Smith [Google LLC] <greg@krypto.org>
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@ -18,9 +18,9 @@ extern "C" {
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* everyone's existing deployed numpy test suite passes before
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* https://github.com/numpy/numpy/issues/22098 is widely available.
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*
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* $ python -m timeit -s 's = * "1"*4300' 'int(s)'
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* $ python -m timeit -s 's = "1"*4300' 'int(s)'
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* 2000 loops, best of 5: 125 usec per loop
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* $ python -m timeit -s 's = * "1"*4300; v = int(s)' 'str(v)'
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* $ python -m timeit -s 's = "1"*4300; v = int(s)' 'str(v)'
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* 1000 loops, best of 5: 311 usec per loop
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* (zen2 cloud VM)
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*
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@ -1,4 +1,5 @@
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import sys
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import time
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import unittest
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from test import support
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@ -632,6 +633,87 @@ class IntStrDigitLimitsTests(unittest.TestCase):
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with self.assertRaises(ValueError):
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str(i)
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def test_denial_of_service_prevented_int_to_str(self):
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"""Regression test: ensure we fail before performing O(N**2) work."""
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maxdigits = sys.get_int_max_str_digits()
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assert maxdigits < 50_000, maxdigits # A test prerequisite.
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get_time = time.process_time
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if get_time() <= 0: # some platforms like WASM lack process_time()
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get_time = time.monotonic
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huge_int = int(f'0x{"c"*65_000}', base=16) # 78268 decimal digits.
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digits = 78_268
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with support.adjust_int_max_str_digits(digits):
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start = get_time()
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huge_decimal = str(huge_int)
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seconds_to_convert = get_time() - start
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self.assertEqual(len(huge_decimal), digits)
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# Ensuring that we chose a slow enough conversion to measure.
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# It takes 0.1 seconds on a Zen based cloud VM in an opt build.
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if seconds_to_convert < 0.005:
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raise unittest.SkipTest('"slow" conversion took only '
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f'{seconds_to_convert} seconds.')
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# We test with the limit almost at the size needed to check performance.
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# The performant limit check is slightly fuzzy, give it a some room.
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with support.adjust_int_max_str_digits(int(.995 * digits)):
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with self.assertRaises(ValueError) as err:
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start = get_time()
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str(huge_int)
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seconds_to_fail_huge = get_time() - start
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self.assertIn('conversion', str(err.exception))
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self.assertLess(seconds_to_fail_huge, seconds_to_convert/8)
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# Now we test that a conversion that would take 30x as long also fails
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# in a similarly fast fashion.
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extra_huge_int = int(f'0x{"c"*500_000}', base=16) # 602060 digits.
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with self.assertRaises(ValueError) as err:
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start = get_time()
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# If not limited, 8 seconds said Zen based cloud VM.
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str(extra_huge_int)
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seconds_to_fail_extra_huge = get_time() - start
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self.assertIn('conversion', str(err.exception))
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self.assertLess(seconds_to_fail_extra_huge, seconds_to_convert/8)
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def test_denial_of_service_prevented_str_to_int(self):
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"""Regression test: ensure we fail before performing O(N**2) work."""
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maxdigits = sys.get_int_max_str_digits()
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assert maxdigits < 100_000, maxdigits # A test prerequisite.
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get_time = time.process_time
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if get_time() <= 0: # some platforms like WASM lack process_time()
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get_time = time.monotonic
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digits = 133700
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huge = '8'*digits
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with support.adjust_int_max_str_digits(digits):
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start = get_time()
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int(huge)
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seconds_to_convert = get_time() - start
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# Ensuring that we chose a slow enough conversion to measure.
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# It takes 0.1 seconds on a Zen based cloud VM in an opt build.
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if seconds_to_convert < 0.005:
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raise unittest.SkipTest('"slow" conversion took only '
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f'{seconds_to_convert} seconds.')
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with support.adjust_int_max_str_digits(digits - 1):
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with self.assertRaises(ValueError) as err:
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start = get_time()
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int(huge)
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seconds_to_fail_huge = get_time() - start
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self.assertIn('conversion', str(err.exception))
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self.assertLess(seconds_to_fail_huge, seconds_to_convert/8)
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# Now we test that a conversion that would take 30x as long also fails
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# in a similarly fast fashion.
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extra_huge = '7'*1_200_000
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with self.assertRaises(ValueError) as err:
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start = get_time()
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# If not limited, 8 seconds in the Zen based cloud VM.
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int(extra_huge)
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seconds_to_fail_extra_huge = get_time() - start
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self.assertIn('conversion', str(err.exception))
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self.assertLess(seconds_to_fail_extra_huge, seconds_to_convert/8)
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def test_power_of_two_bases_unlimited(self):
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"""The limit does not apply to power of 2 bases."""
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maxdigits = sys.get_int_max_str_digits()
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@ -11,4 +11,4 @@ limitation <int_max_str_digits>` documentation. The default limit is 4300
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digits in string form.
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Patch by Gregory P. Smith [Google] and Christian Heimes [Red Hat] with feedback
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from Victor Stinner, Thomas Wouters, Steve Dower, and Ned Deily.
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from Victor Stinner, Thomas Wouters, Steve Dower, Ned Deily, and Mark Dickinson.
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@ -36,7 +36,8 @@ medium_value(PyLongObject *x)
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#define IS_SMALL_INT(ival) (-_PY_NSMALLNEGINTS <= (ival) && (ival) < _PY_NSMALLPOSINTS)
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#define IS_SMALL_UINT(ival) ((ival) < _PY_NSMALLPOSINTS)
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#define _MAX_STR_DIGITS_ERROR_FMT "Exceeds the limit (%d) for integer string conversion: value has %zd digits"
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#define _MAX_STR_DIGITS_ERROR_FMT_TO_INT "Exceeds the limit (%d) for integer string conversion: value has %zd digits"
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#define _MAX_STR_DIGITS_ERROR_FMT_TO_STR "Exceeds the limit (%d) for integer string conversion"
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static inline void
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_Py_DECREF_INT(PyLongObject *op)
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@ -1758,6 +1759,23 @@ long_to_decimal_string_internal(PyObject *aa,
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size_a = Py_ABS(Py_SIZE(a));
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negative = Py_SIZE(a) < 0;
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/* quick and dirty pre-check for overflowing the decimal digit limit,
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based on the inequality 10/3 >= log2(10)
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explanation in https://github.com/python/cpython/pull/96537
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*/
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if (size_a >= 10 * _PY_LONG_MAX_STR_DIGITS_THRESHOLD
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/ (3 * PyLong_SHIFT) + 2) {
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PyInterpreterState *interp = _PyInterpreterState_GET();
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int max_str_digits = interp->int_max_str_digits;
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if ((max_str_digits > 0) &&
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(max_str_digits / (3 * PyLong_SHIFT) <= (size_a - 11) / 10)) {
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PyErr_Format(PyExc_ValueError, _MAX_STR_DIGITS_ERROR_FMT_TO_STR,
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max_str_digits);
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return -1;
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}
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}
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/* quick and dirty upper bound for the number of digits
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required to express a in base _PyLong_DECIMAL_BASE:
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@ -1823,8 +1841,8 @@ long_to_decimal_string_internal(PyObject *aa,
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Py_ssize_t strlen_nosign = strlen - negative;
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if ((max_str_digits > 0) && (strlen_nosign > max_str_digits)) {
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Py_DECREF(scratch);
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PyErr_Format(PyExc_ValueError, _MAX_STR_DIGITS_ERROR_FMT,
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max_str_digits, strlen_nosign);
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PyErr_Format(PyExc_ValueError, _MAX_STR_DIGITS_ERROR_FMT_TO_STR,
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max_str_digits);
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return -1;
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}
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}
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@ -2498,7 +2516,7 @@ digit beyond the first.
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PyInterpreterState *interp = _PyInterpreterState_GET();
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int max_str_digits = interp->int_max_str_digits;
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if ((max_str_digits > 0) && (digits > max_str_digits)) {
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PyErr_Format(PyExc_ValueError, _MAX_STR_DIGITS_ERROR_FMT,
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PyErr_Format(PyExc_ValueError, _MAX_STR_DIGITS_ERROR_FMT_TO_INT,
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max_str_digits, digits);
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return NULL;
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}
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