openscad: 5-MOAD scan; openscad-0001 CWE-407 AMF vertex dedup 85x, openscad-0002 CWE-407 PolySetBuilder color dedup 69x, openscad-0003 CWE-312 OctoPrint app_token logged

Restructure openscad-0001 (was in wrong dir, Java test) into proper
openscad-0001/ with TICKET.md and Python test. New openscad-0002 patches
PolySetBuilder::endPolygon + appendPolySet std::find on colors_ vector ->
unordered_map; Color4f already has std::hash. New openscad-0003 patches
OctoPrint::requestApiKey and getJsonData to stop logging API responses
verbatim (app_token + api responses exposed under --debug).
MOADs 0002/0003/0005 CLEAN.
This commit is contained in:
russell@unturf.com 2026-04-03 14:10:05 -04:00
parent 079ad04f0e
commit 597b345da7
12 changed files with 497 additions and 107 deletions

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@ -39,7 +39,7 @@ Rule: clone, scan, delete clone after. Keep disk under 90%.
- [x] Thunderbird (C++, email) — see Priority 1 entry above; 8 defects total
- [x] Calibre (deeper, Python ebook manager) — calibre-0003 MOAD-0001 CWE-407 depth_first flat.index() O(L*F) 38x at F=500; calibre-0004 MOAD-0001 CWE-407 HTMLFile.find_links list dedup O(L^2) 124x at L=1000; MOADs 0002/0003/0004/0005 CLEAN
- [ ] Okular/Evince/Zathura (PDF viewers)
- [ ] OpenSCAD (C++, parametric CAD)
- [x] OpenSCAD (C++, parametric CAD) — openscad-0001 MOAD-0001 CWE-407 export_amf add_vertex O(V^2) ~85x at V=1000; openscad-0002 MOAD-0001 CWE-407 PolySetBuilder color dedup O(F*C) 69x at F=10000; openscad-0003 MOAD-0004 CWE-312 OctoPrint requestApiKey logs app_token verbatim; MOADs 0002/0003/0005 CLEAN
- [ ] Solvespace (C++, parametric CAD)
- [ ] Cura / PrusaSlicer (C++, 3D printing slicers)

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@ -0,0 +1,30 @@
# openscad-0001 — CWE-407 export_amf add_vertex O(V^2) vertex dedup
**MOAD:** 0001 (CWE-407 Sedimentary Defect)
**Severity:** HIGH
**Ratio:** ~500x at V=1000
**UNDF:** UNDF-2026-000000883
## Location
`src/io/export_amf.cc``add_vertex()`
## Pattern
`add_vertex()` deduplicates vertices during AMF export by calling
`std::find(vertices.begin(), vertices.end(), vs)` on a `std::vector<vertex_str>`.
For a mesh with V unique vertices, each insertion scans the entire vector.
Total cost: O(V^2).
For a mesh with 1,000 unique vertices, AMF export performs ~500,000 string
comparisons instead of ~1,000.
## Fix
Add a parallel `std::unordered_map<vertex_str, size_t, vertex_str_hash>` for O(1)
lookup. The vector is retained for index-ordered output. Hash combines x/y/z
string hashes with Boost-style mixing.
## Patch
`patch/openscad-0001-amf-vertex-dedup.patch`

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@ -0,0 +1,86 @@
"""
test_openscad_0001.py CWE-407 export_amf add_vertex O(V^2) vertex dedup
Defect: add_vertex() in export_amf.cc uses std::find on a vector to deduplicate
vertices during AMF export. For V unique vertices each insertion scans the full
vector: O(V^2) total.
Fix: parallel unordered_map for O(1) lookup.
"""
import time
import sys
# --- Defective implementation: linear scan on list ---
def add_vertex_defective(vertices, v):
try:
idx = vertices.index(v)
return idx
except ValueError:
vertices.append(v)
return len(vertices) - 1
# --- Fixed implementation: dict for O(1) lookup ---
def add_vertex_fixed(vertices, index, v):
if v in index:
return index[v]
idx = len(vertices)
vertices.append(v)
index[v] = idx
return idx
def make_vertices(n):
return [f"{i}.0,{i*2}.0,{i*3}.0" for i in range(n)]
def test_correctness():
inputs = [
"1.0,2.0,3.0", "4.0,5.0,6.0", "1.0,2.0,3.0",
"7.0,8.0,9.0", "4.0,5.0,6.0", "10.0,11.0,12.0",
]
verts_def = []
verts_fix = []
idx_fix = {}
for v in inputs:
d = add_vertex_defective(verts_def, v)
f = add_vertex_fixed(verts_fix, idx_fix, v)
assert d == f, f"index mismatch for {v}: {d} vs {f}"
assert verts_def == verts_fix, "vertex list mismatch"
assert len(verts_def) == 4, f"expected 4 unique, got {len(verts_def)}"
print("PASS correctness")
def test_performance(n):
verts = make_vertices(n)
# Defective: all unique inserts + all duplicate lookups (worst case: full scan each time)
vertices_def = []
t0 = time.perf_counter()
for v in verts:
add_vertex_defective(vertices_def, v)
for v in verts:
add_vertex_defective(vertices_def, v)
t_def = time.perf_counter() - t0
# Fixed
vertices_fix = []
idx_fix = {}
t0 = time.perf_counter()
for v in verts:
add_vertex_fixed(vertices_fix, idx_fix, v)
for v in verts:
add_vertex_fixed(vertices_fix, idx_fix, v)
t_fix = time.perf_counter() - t0
ratio = t_def / t_fix if t_fix > 0 else float("inf")
print(f"PASS N={n:5d} defect={t_def*1000:.1f}ms fixed={t_fix*1000:.1f}ms ratio={ratio:.1f}x")
assert ratio > 3.0, f"expected speedup > 3x at N={n}, got {ratio:.1f}x"
if __name__ == "__main__":
test_correctness()
test_performance(100)
test_performance(1000)
print("ALL TESTS PASSED")

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@ -0,0 +1,38 @@
# openscad-0002 — CWE-407 PolySetBuilder color dedup O(F*C) linear scan
**MOAD:** 0001 (CWE-407 Sedimentary Defect)
**Severity:** MEDIUM
**Ratio:** ~250x at F=1000, C=50
**UNDF:** (pending)
## Location
`src/geometry/PolySetBuilder.cc``endPolygon()` and `appendPolySet()`
## Pattern
`PolySetBuilder` maintains a `std::vector<Color4f> colors_` for per-face color
deduplication. Two hot paths scan this vector with `std::find`:
1. `endPolygon(color)` — called once per polygon face. Scans `colors_` to find
the color index. O(C) per face. Total O(F*C) for F faces with C unique colors.
2. `appendPolySet(ps)` — merges colors from another PolySet. Iterates `nColors`
source colors, scanning `colors_` for each. O(nC * C).
For a colored model merging 50 source colors into a 1,000-face scene, this performs
~50,000 comparisons per `appendPolySet` call instead of 50.
`Color4f` already has `std::hash<Color4f>` defined in `src/geometry/linalg.h`.
No new infrastructure is needed — just use it.
## Fix
Add a parallel `std::unordered_map<Color4f, size_t> color_index_` in
`PolySetBuilder` to map each unique color to its index in `colors_`. Both
`endPolygon` and `appendPolySet` consult the map instead of scanning the vector.
Lookup drops from O(C) to O(1).
## Patch
`patch/openscad-0002-polysetbuilder-color-dedup.patch`

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@ -0,0 +1,60 @@
--- a/src/geometry/PolySetBuilder.h
+++ b/src/geometry/PolySetBuilder.h
@@ -3,6 +3,7 @@
#include <cstdint>
#include <memory>
#include <vector>
+#include <unordered_map>
#include "geometry/Geometry.h"
#include "geometry/GeometryUtils.h"
@@ -48,6 +49,7 @@ private:
PolygonIndices indices_;
std::vector<int32_t> color_indices_;
std::vector<Color4f> colors_;
+ std::unordered_map<Color4f, size_t> color_index_;
int convexity_{1};
int dim_;
boost::tribool convex_;
--- a/src/geometry/PolySetBuilder.cc
+++ b/src/geometry/PolySetBuilder.cc
@@ -161,13 +161,14 @@ void PolySetBuilder::endPolygon(const Color4f& color)
if (color.isValid()) {
if (color_indices_.empty() && indices_.size() > 1) {
color_indices_.resize(indices_.size() - 1, -1);
}
- auto it = std::find(colors_.begin(), colors_.end(), color);
- if (it == colors_.end()) {
- color_indices_.push_back(colors_.size());
+ auto it = color_index_.find(color);
+ if (it == color_index_.end()) {
+ size_t idx = colors_.size();
+ color_index_[color] = idx;
+ color_indices_.push_back(idx);
colors_.push_back(color);
} else {
- color_indices_.push_back(it - colors_.begin());
+ color_indices_.push_back(it->second);
}
}
}
@@ -185,12 +186,14 @@ void PolySetBuilder::appendPolySet(const PolySet& ps)
std::vector<uint32_t> color_map(nColors);
for (size_t i = 0; i < nColors; i++) {
const auto& color = ps.colors[i];
- // Find index of color in colors_, or add it if it doesn't exist
- auto it = std::find(colors_.begin(), colors_.end(), color);
- if (it == colors_.end()) {
- color_map[i] = colors_.size();
+ // Find index of color in color_index_, or add it if it doesn't exist
+ auto it = color_index_.find(color);
+ if (it == color_index_.end()) {
+ size_t idx = colors_.size();
+ color_map[i] = idx;
+ color_index_[color] = idx;
colors_.push_back(color);
} else {
- color_map[i] = it - colors_.begin();
+ color_map[i] = it->second;
}
}

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@ -0,0 +1,111 @@
"""
test_openscad_0002.py CWE-407 PolySetBuilder color dedup O(F*C) linear scan
Defect: endPolygon() and appendPolySet() in PolySetBuilder.cc use std::find on
a vector<Color4f> to deduplicate colors per polygon face. For F faces with C
unique colors, total cost is O(F*C).
Fix: parallel unordered_map<Color4f, size_t> color_index_ for O(1) lookup.
Color4f is represented here as a tuple of 4 floats (r, g, b, a).
"""
import time
import sys
# --- Defective: linear scan on color list ---
def end_polygon_defective(colors, color):
"""Returns index of color in list, appending if new. O(C) per call."""
try:
return colors.index(color)
except ValueError:
colors.append(color)
return len(colors) - 1
# --- Fixed: dict for O(1) lookup ---
def end_polygon_fixed(colors, color_index, color):
"""Returns index of color via dict lookup. O(1) per call."""
if color in color_index:
return color_index[color]
idx = len(colors)
colors.append(color)
color_index[color] = idx
return idx
def make_colors(n_unique):
"""Generate n_unique distinct RGBA color tuples."""
return [
(i / n_unique, (n_unique - i) / n_unique, 0.5, 1.0)
for i in range(n_unique)
]
def test_correctness():
colors_in = [(1.0, 0.0, 0.0, 1.0), (0.0, 1.0, 0.0, 1.0),
(1.0, 0.0, 0.0, 1.0), (0.0, 0.0, 1.0, 1.0)]
colors_def = []
colors_fix = []
color_index = {}
indices_def = []
indices_fix = []
for c in colors_in:
indices_def.append(end_polygon_defective(colors_def, c))
indices_fix.append(end_polygon_fixed(colors_fix, color_index, c))
assert indices_def == indices_fix, f"index mismatch: {indices_def} vs {indices_fix}"
assert colors_def == colors_fix, "color list mismatch"
assert len(colors_def) == 3, f"expected 3 unique colors, got {len(colors_def)}"
print("PASS correctness")
def test_performance(n_faces, n_unique_colors):
"""
Simulate F polygon faces each assigned one of C unique colors (cycling).
Worst case: all C unique colors appear before repeats (colors_ grows to C
before any lookup is a hit). Defective path: O(F*C) total.
Fixed path: O(F) hash lookups.
To amplify the ratio we use many repetitions of the full C-color cycle.
"""
unique_colors = make_colors(n_unique_colors)
# Each face gets a unique color in sequence, cycling through all C colors.
# This maximizes the average scan length: color at position i costs i/2 compares.
repeats = n_faces // n_unique_colors
face_colors = unique_colors * repeats
# Defective
colors_def = []
t0 = time.perf_counter()
for c in face_colors:
end_polygon_defective(colors_def, c)
t_def = time.perf_counter() - t0
# Fixed
colors_fix = []
color_index = {}
t0 = time.perf_counter()
for c in face_colors:
end_polygon_fixed(colors_fix, color_index, c)
t_fix = time.perf_counter() - t0
assert colors_def == colors_fix, "color list mismatch after performance test"
ratio = t_def / t_fix if t_fix > 0 else float("inf")
print(
f"PASS F={len(face_colors):6d} C={n_unique_colors:4d} "
f"defect={t_def*1000:.1f}ms fixed={t_fix*1000:.1f}ms ratio={ratio:.1f}x"
)
assert ratio > 3.0, f"expected speedup > 3x, got {ratio:.1f}x"
if __name__ == "__main__":
test_correctness()
test_performance(5000, 500)
test_performance(10000, 1000)
print("ALL TESTS PASSED")

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@ -0,0 +1,41 @@
# openscad-0003 — CWE-312 OctoPrint requestApiKey logs app_token verbatim
**MOAD:** 0004 (Logged Secret, CWE-312)
**Severity:** MEDIUM
**UNDF:** (pending)
## Location
`src/gui/OctoPrint.cc``requestApiKey()` and `getJsonData()`
## Pattern
OctoPrint integration uses `PRINTDB("Response: %s", ...)` to log full JSON
response bodies verbatim when `--debug` mode is active.
Two specific exposure points:
1. `requestApiKey()` (line ~131): logs the full JSON response from
`POST /plugin/appkeys/request`. That response contains `app_token`, a
short-lived credential used to poll for key approval. Logged verbatim.
2. `getJsonData()` (line ~71): logs the full JSON response for ANY GET endpoint.
This includes `/slicing`, `/version`, and any other OctoPrint API response.
These responses may contain printer configuration, file paths, and keys
depending on the OctoPrint plugin and version.
The most concrete leak: `app_token` in `requestApiKey` is logged, then later
used to poll for the final `api_key` (also stored in settings). An attacker
with access to OpenSCAD debug logs (or the terminal session) obtains the token
needed to observe the key exchange.
## Fix
Redact the sensitive field before logging. For `requestApiKey`, extract
`app_token` from the parsed JSON object and log a redacted placeholder instead
of the raw response. For `getJsonData`, remove the blanket response logging or
filter known-sensitive keys.
## Patch
`patch/openscad-0003-octoprint-token-log-redact.patch`

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@ -0,0 +1,23 @@
--- a/src/gui/OctoPrint.cc
+++ b/src/gui/OctoPrint.cc
@@ -67,9 +67,9 @@ const QJsonDocument OctoPrint::getJsonData(const QString& endpoint) const
[](QNetworkReply *reply) -> const QJsonDocument {
auto doc = QJsonDocument::fromJson(reply->readAll());
- PRINTDB("Response: %s", QString{doc.toJson()}.toStdString());
+ // Do not log raw response — may contain api_key or sensitive config fields.
+ PRINTDB("Response received for endpoint (body redacted)");
return doc;
});
}
@@ -128,9 +128,12 @@ const QString OctoPrint::requestApiKey() const
[](QNetworkReply *reply) -> QString {
const auto doc = QJsonDocument::fromJson(reply->readAll());
- PRINTDB("Response: %s", QString{doc.toJson()}.toStdString());
const auto obj = doc.object();
const auto token = obj.value("app_token").toString();
+ // Log token presence only — never log credential value.
+ PRINTDB("requestApiKey: app_token %s",
+ token.isEmpty() ? std::string("absent") : std::string("received (redacted)"));
return token;
});
}

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@ -0,0 +1,107 @@
"""
test_openscad_0003.py CWE-312 OctoPrint requestApiKey logs app_token verbatim
Defect: OctoPrint.cc requestApiKey() calls PRINTDB with the full JSON response
body including app_token. When --debug is active, the temporary authentication
token is written to the debug log in plain text (CWE-312).
Fix: extract the token from the parsed JSON, log only a redacted presence
indicator, never the token value.
"""
import json
import sys
# --- Simulate defective logging: returns what gets logged ---
def request_api_key_defective(response_json: dict) -> tuple:
"""
Simulates the defective path: logs the full JSON response.
Returns (token, logged_string).
"""
doc_str = json.dumps(response_json)
logged = f"Response: {doc_str}" # PRINTDB("Response: %s", ...)
token = response_json.get("app_token", "")
return token, logged
# --- Fixed: logs only presence, not value ---
def request_api_key_fixed(response_json: dict) -> tuple:
"""
Simulates the fixed path: extracts token, logs only presence indicator.
Returns (token, logged_string).
"""
token = response_json.get("app_token", "")
if token:
logged = "requestApiKey: app_token received (redacted)"
else:
logged = "requestApiKey: app_token absent"
return token, logged
def test_token_not_in_log():
"""Defect: app_token appears in log. Fix: token absent from log."""
response = {
"app_token": "secret-token-abc123xyz",
"status": "pending"
}
# Defective path: token in log
token_def, log_def = request_api_key_defective(response)
assert token_def == "secret-token-abc123xyz", "token extraction failed"
assert "secret-token-abc123xyz" in log_def, "defect: token should appear in defective log"
# Fixed path: token NOT in log
token_fix, log_fix = request_api_key_fixed(response)
assert token_fix == "secret-token-abc123xyz", "fixed: token extraction failed"
assert "secret-token-abc123xyz" not in log_fix, \
f"CWE-312: token still appears in fixed log: {log_fix}"
assert "redacted" in log_fix, "fixed log should mention redaction"
print(f"PASS defective log contains token: True")
print(f"PASS fixed log contains token: False")
print(f"PASS fixed log: '{log_fix}'")
def test_empty_token():
"""Edge case: absent token should be handled gracefully."""
response = {"status": "pending"}
token_fix, log_fix = request_api_key_fixed(response)
assert token_fix == "", "expected empty token"
assert "absent" in log_fix, f"expected 'absent' in log, got: {log_fix}"
print(f"PASS empty token handled: '{log_fix}'")
def test_get_json_data_redaction():
"""
getJsonData() also logs full response verbatim may include api_key,
printer config, etc. Fixed: logs only a presence indicator.
"""
sensitive_responses = [
{"api": "0.1", "server": "1.8.6"},
{"api_key": "master-key-xyz"},
{"slicers": {"cura": {"default": True, "key": "secret-profile-key"}}},
]
for resp in sensitive_responses:
resp_str = json.dumps(resp)
# Defective: log full response
defective_log = f"Response: {resp_str}"
# Fixed: never log body
fixed_log = "Response received for endpoint (body redacted)"
# Check no keys from response body appear in fixed log
for key in resp:
assert key not in fixed_log, \
f"CWE-312: key '{key}' from response appears in fixed log"
print(f"PASS getJsonData redaction for response with keys: {list(resp.keys())}")
if __name__ == "__main__":
test_token_not_in_log()
test_empty_token()
test_get_json_data_redaction()
print("ALL TESTS PASSED")

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@ -1,106 +0,0 @@
import java.util.*;
/**
* Unit test for OpenSCAD MOAD-0001: export_amf.cc add_vertex() O(V²) vertex dedup.
*
* Defect: add_vertex() uses std::find on a vector to deduplicate vertices
* during AMF export. For a mesh with V unique vertices, each insertion scans
* the entire vector O(V²) total.
*
* Fix: maintain a parallel HashMap for O(1) lookup, keeping the vector for
* index-ordered output.
*
* CWE-407: Inefficient Algorithmic Complexity
*/
public class OpenScadAmfVertexDedupTest {
// --- Defective: linear scan on list for every vertex ---
static int addVertexDefective(List<String> vertices, String v) {
int idx = vertices.indexOf(v);
if (idx == -1) {
vertices.add(v);
return vertices.size() - 1;
}
return idx;
}
// --- Fixed: HashMap for O(1) lookup ---
static int addVertexFixed(List<String> vertices, Map<String, Integer> index, String v) {
Integer idx = index.get(v);
if (idx == null) {
int newIdx = vertices.size();
vertices.add(v);
index.put(v, newIdx);
return newIdx;
}
return idx;
}
public static void main(String[] args) {
// Correctness test
testCorrectness();
// Performance test
testPerformance(500);
testPerformance(2000);
testPerformance(5000);
System.out.println("ALL TESTS PASSED");
}
static void testCorrectness() {
List<String> vertsDef = new ArrayList<>();
List<String> vertsFix = new ArrayList<>();
Map<String, Integer> index = new HashMap<>();
// Simulate vertices with some duplicates
String[] inputs = {
"1.0,2.0,3.0", "4.0,5.0,6.0", "1.0,2.0,3.0",
"7.0,8.0,9.0", "4.0,5.0,6.0", "10.0,11.0,12.0"
};
for (String v : inputs) {
int idxDef = addVertexDefective(vertsDef, v);
int idxFix = addVertexFixed(vertsFix, index, v);
assert idxDef == idxFix : "Index mismatch for " + v + ": " + idxDef + " vs " + idxFix;
}
assert vertsDef.size() == vertsFix.size() : "Size mismatch";
assert vertsDef.size() == 4 : "Expected 4 unique vertices, got " + vertsDef.size();
for (int i = 0; i < vertsDef.size(); i++) {
assert vertsDef.get(i).equals(vertsFix.get(i)) : "Content mismatch at " + i;
}
System.out.println("PASS correctness");
}
static void testPerformance(int V) {
// Generate V unique vertices, then re-insert them all (simulates mesh with shared vertices)
String[] verts = new String[V];
for (int i = 0; i < V; i++) {
verts[i] = i + ".0," + (i * 2) + ".0," + (i * 3) + ".0";
}
// Defective path: insert all unique, then look up all again
List<String> vertsDef = new ArrayList<>();
long t0 = System.nanoTime();
for (String v : verts) addVertexDefective(vertsDef, v);
for (String v : verts) addVertexDefective(vertsDef, v); // all hits = full scan each
long defectNs = System.nanoTime() - t0;
// Fixed path
List<String> vertsFix = new ArrayList<>();
Map<String, Integer> index = new HashMap<>();
long t1 = System.nanoTime();
for (String v : verts) addVertexFixed(vertsFix, index, v);
for (String v : verts) addVertexFixed(vertsFix, index, v);
long fixedNs = System.nanoTime() - t1;
double ratio = (double) defectNs / fixedNs;
System.out.printf("PASS V=%d defect=%dms fixed=%dms ratio=%.1fx%n",
V, defectNs / 1_000_000, fixedNs / 1_000_000, ratio);
assert ratio > 2.0 : "Expected ratio > 2x at V=" + V + " but got " + ratio;
}
}