Adding new unit test

This commit is contained in:
Miroslav Štampar 2026-07-28 23:58:07 +02:00
parent 0630556826
commit 2afa92451a
2 changed files with 213 additions and 1 deletions

View file

@ -20,7 +20,7 @@ from lib.core.enums import OS
from thirdparty import six
# sqlmap version (<major>.<minor>.<month>.<monthly commit>)
VERSION = "1.10.7.238"
VERSION = "1.10.7.239"
TYPE = "dev" if VERSION.count('.') > 2 and VERSION.split('.')[-1] != '0' else "stable"
TYPE_COLORS = {"dev": 33, "stable": 90, "pip": 34}
VERSION_STRING = "sqlmap/%s#%s" % ('.'.join(VERSION.split('.')[:-1]) if VERSION.count('.') > 2 and VERSION.split('.')[-1] == '0' else VERSION, TYPE)

212
tests/test_jitter_stress.py Normal file
View file

@ -0,0 +1,212 @@
#!/usr/bin/env python
"""
Copyright (c) 2006-2026 sqlmap developers (https://sqlmap.org)
See the file 'LICENSE' for copying permission
Adversarial JITTER stress harness for time-based blind extraction.
Drives the REAL bisection() + REAL wasLastResponseDelayed() against a mock oracle that returns a
simulated RESPONSE DURATION (base + jitter + timeSec-if-condition-true) instead of a boolean - so
the actual statistical delay-decision and its re-validation run under controlled network jitter,
with NO real sleeping (thousands of extractions per second, fully deterministic per seed).
Two tiers:
* TestJitterRegression - ALWAYS runs. Low/mild jitter MUST extract perfectly. A real regression
guard for the time-based decision stack (deterministic, fast, non-flaky).
* TestJitterStressSweep - OPT-IN (set env SQLMAP_JITTER_STRESS=1). The adversarial sweeps that map
the failure surface (Gaussian sigma, heavy-tailed spikes). Informational
+ loose bounds only; kept out of normal CI to avoid slowness/flakiness.
Run the sweep on demand: SQLMAP_JITTER_STRESS=1 python -m unittest tests.test_jitter_stress -v
"""
import os
import random
import re
import sys
import unittest
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
from _testutils import bootstrap, set_dbms, reset_dbms
bootstrap()
from lib.core.data import conf, kb
from lib.core.common import getCurrentThreadData, setTechnique
from lib.core.datatype import AttribDict
from lib.core.enums import ADJUST_TIME_DELAY, PAYLOAD
from lib.request.connect import Connect
import lib.techniques.blind.inference as inf
_TEMPLATE = "EXPR=%s IDX=%d CMP>%d"
_PARSE = re.compile(r"IDX=(\d+) CMP(.)(\d+)")
_TIMESEC = 5.0
_BASE = 0.10 # base (non-delay) round-trip latency, seconds
_STRESS = os.environ.get("SQLMAP_JITTER_STRESS")
def _timeVector():
d = AttribDict()
d.payload = _TEMPLATE; d.where = 1; d.vector = _TEMPLATE
d.comment = ""; d.templatePayload = None; d.matchRatio = None
d.trueCode = None; d.falseCode = None
return d
class _JitterBase(unittest.TestCase):
_CONF = ("threads", "api", "verbose", "direct", "disableStats", "timeSec", "predictOutput",
"hexConvert", "charset", "firstChar", "lastChar")
_KB = ("responseTimeMode", "adjustTimeDelay", "laggingChecked", "partRun", "safeCharEncode",
"bruteMode", "fileReadMode", "disableShiftTable", "prependFlag", "originalTimeDelay",
"counters", "responseTimes")
def setUp(self):
self._saved_conf = {k: conf.get(k) for k in self._CONF}
self._saved_kb = {k: kb.get(k) for k in self._KB}
self._saved_inj = kb.injection.data
self._saved_qp = Connect.queryPage
self._saved_technique = getCurrentThreadData().technique
def tearDown(self):
for k, v in self._saved_conf.items():
conf[k] = v
for k, v in self._saved_kb.items():
kb[k] = v
kb.injection.data = self._saved_inj
Connect.queryPage = self._saved_qp
inf.Request.queryPage = self._saved_qp
setTechnique(self._saved_technique) # setTechnique() sets a thread-local; restore so it can't leak into other modules
def _configure(self, baselineJitter, rng, nBaseline=30):
set_dbms("MySQL")
conf.threads = 1; conf.api = False; conf.verbose = 0; conf.direct = False
conf.disableStats = False; conf.timeSec = _TIMESEC; conf.predictOutput = False
conf.hexConvert = False; conf.charset = None; conf.firstChar = None; conf.lastChar = None
kb.responseTimeMode = None
kb.adjustTimeDelay = ADJUST_TIME_DELAY.DISABLE # never prompt / never mutate timeSec
kb.laggingChecked = True
kb.partRun = None; kb.safeCharEncode = False; kb.bruteMode = False
kb.fileReadMode = False; kb.disableShiftTable = False; kb.prependFlag = False
kb.originalTimeDelay = _TIMESEC; kb.counters = {}
kb.injection.data = {PAYLOAD.TECHNIQUE.TIME: _timeVector()}
setTechnique(PAYLOAD.TECHNIQUE.TIME)
# jitter is always ADDITIVE (network delays only slow a response, never speed it below base),
# so the baseline is right-skewed with a floor at base - like real kb.responseTimes, and with
# no fake point-mass at 0 that a clamp (max(0.0, ..)) would create and that would skew stats
kb.responseTimes = {None: [_BASE + abs(baselineJitter(rng)) for _ in range(nBaseline)]}
kb.data.processChar = None
def _extract(self, secret, jitter, rng):
from lib.core.common import wasLastResponseDelayed
def oracle(payload=None, timeBasedCompare=False, **kwargs):
td = getCurrentThreadData()
m = _PARSE.search(payload or "")
if not m:
td.lastQueryDuration = _BASE + abs(jitter(rng))
return False
idx, op, thr = int(m.group(1)), m.group(2), int(m.group(3))
ch = ord(secret[idx - 1]) if 0 <= idx - 1 < len(secret) else 0
cond = (ch > thr) if op == ">" else (ch == thr)
if "NOT(" in payload:
cond = not cond
td.lastQueryDuration = _BASE + abs(jitter(rng)) + (_TIMESEC if cond else 0.0)
return wasLastResponseDelayed() if timeBasedCompare else cond
Connect.queryPage = staticmethod(oracle)
inf.Request.queryPage = staticmethod(oracle) # Note: staticmethod on BOTH (py2 makes a bare function an unbound method)
td = getCurrentThreadData()
td.shared.value = ""; td.shared.index = [0]; td.shared.start = 0; td.shared.count = 0
_, value = inf.bisection(_TEMPLATE, "SELECT secret", length=len(secret), charsetType=None)
return value
def _rate(self, secret, jitter, trials=40, seed0=1000):
ok = 0
for t in range(trials):
rng = random.Random(seed0 + t)
self._configure(jitter, rng)
try:
ok += (self._extract(secret, jitter, rng) == secret)
except Exception:
pass
return ok, trials
def _gaussian(sigma):
return lambda rng: rng.gauss(0, sigma)
def _spike(sigma, p, mag):
def f(rng):
v = rng.gauss(0, sigma)
if rng.random() < p:
v += mag
return v
return f
class TestJitterRegression(_JitterBase):
"""Always-on, deterministic, non-flaky: under low/mild jitter (7*sigma well below timeSec and no
heavy tail) the time-based stack MUST reconstruct the value exactly, every seed."""
SECRET = "Str0ng!"
def test_no_jitter_is_perfect(self):
ok, n = self._rate(self.SECRET, _gaussian(0.0))
self.assertEqual(ok, n, "time-based extraction must be flawless with zero jitter (%d/%d)" % (ok, n))
def test_mild_gaussian_is_perfect(self):
# sigma=0.3 -> false bits at base+|N(0,0.3)| (<~1s) stay well under the threshold, << timeSec=5
ok, n = self._rate(self.SECRET, _gaussian(0.3))
self.assertEqual(ok, n, "mild gaussian jitter must not corrupt extraction (%d/%d)" % (ok, n))
def test_baseline_spike_does_not_hide_a_genuine_delay(self):
# A single latency spike captured in the response-time model must not raise the delay
# threshold (avg + 7*stdev) so high that a real timeSec delay is missed. Deterministic.
from lib.core.common import wasLastResponseDelayed, average, stdev
from lib.core.settings import TIME_STDEV_COEFF
set_dbms("MySQL")
conf.direct = False; conf.disableStats = False; conf.timeSec = _TIMESEC
kb.adjustTimeDelay = ADJUST_TIME_DELAY.DISABLE
kb.responseTimeMode = None
bulk = [0.15, 0.25] * 15 # clean model, small non-zero stdev
kb.responseTimes = {None: bulk + [8.0]} # one 8s spike poisons the baseline
td = getCurrentThreadData()
td.lastQueryDuration = _BASE + _TIMESEC # a genuine time-based delay (~5.1s)
raw = kb.responseTimes[None] # the un-trimmed model WOULD miss it (fix is load-bearing)
self.assertLess(td.lastQueryDuration, average(raw) + TIME_STDEV_COEFF * stdev(raw))
self.assertTrue(wasLastResponseDelayed()) # with spike-trimming the delay is recognized
@unittest.skipUnless(_STRESS, "adversarial jitter sweep is opt-in (set SQLMAP_JITTER_STRESS=1)")
class TestJitterStressSweep(_JitterBase):
"""Opt-in failure-surface map. Prints correctness vs jitter and asserts only loose, non-flaky
invariants (clean case perfect, degradation is monotone-ish). Use to evaluate hardening changes."""
SECRET = "Str0ng!"
def test_gaussian_sweep(self):
print("\n[jitter] Gaussian sigma sweep (timeSec=%.0f, base=%.2f):" % (_TIMESEC, _BASE))
for sigma in (0.0, 0.3, 0.5, 0.7, 0.9, 1.2):
ok, n = self._rate(self.SECRET, _gaussian(sigma))
print(" sigma=%.2fs -> %d/%d (%3.0f%%)" % (sigma, ok, n, 100.0 * ok / n))
if sigma == 0.0:
self.assertEqual(ok, n)
def test_heavy_tailed_spike_sweep(self):
print("\n[jitter] Heavy-tailed spike sweep (base sigma=0.2, spike=+8s):")
for p in (0.0, 0.01, 0.03, 0.05, 0.10):
ok, n = self._rate(self.SECRET, _spike(0.2, p, 8.0))
print(" spike_p=%.2f -> %d/%d (%3.0f%%)" % (p, ok, n, 100.0 * ok / n))
if p == 0.0:
self.assertEqual(ok, n)
if __name__ == "__main__":
unittest.main(verbosity=2)
def tearDownModule():
reset_dbms()