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-rw-r--r--meta-oe/recipes-support/opencv/opencv/CVE-2019-14491.patch148
1 files changed, 148 insertions, 0 deletions
diff --git a/meta-oe/recipes-support/opencv/opencv/CVE-2019-14491.patch b/meta-oe/recipes-support/opencv/opencv/CVE-2019-14491.patch
new file mode 100644
index 0000000000..656000a8e1
--- /dev/null
+++ b/meta-oe/recipes-support/opencv/opencv/CVE-2019-14491.patch
@@ -0,0 +1,148 @@
+From 321c74ccd6077bdea1d47450ca4fe955cb5b6330 Mon Sep 17 00:00:00 2001
+From: Alexander Alekhin <alexander.alekhin@intel.com>
+Date: Thu, 25 Jul 2019 17:15:59 +0300
+Subject: [PATCH] objdetect: validate feature rectangle on reading
+
+CVE: CVE-2019-14491
+CVE: CVE-2019-14492
+Upstream-Status: Backport [https://github.com/opencv/opencv/commit/ac425f67e4c1d0da9afb9203f0918d8d57c067ed.patch]
+Comment: No changes in any hunk
+
+Signed-off-by: Neetika Singh <Neetika.Singh@kpit.com>
+---
+ modules/objdetect/src/cascadedetect.cpp | 43 +++++++++++++++++++++----
+ modules/objdetect/src/cascadedetect.hpp | 6 ++--
+ 2 files changed, 40 insertions(+), 9 deletions(-)
+
+diff --git a/modules/objdetect/src/cascadedetect.cpp b/modules/objdetect/src/cascadedetect.cpp
+index 4b2078306fe..bd62cd21a1b 100644
+--- a/modules/objdetect/src/cascadedetect.cpp
++++ b/modules/objdetect/src/cascadedetect.cpp
+@@ -47,6 +47,10 @@
+ #include "opencv2/objdetect/objdetect_c.h"
+ #include "opencl_kernels_objdetect.hpp"
+
++#if defined(_MSC_VER)
++# pragma warning(disable:4458) // declaration of 'origWinSize' hides class member
++#endif
++
+ namespace cv
+ {
+
+@@ -537,7 +541,7 @@ bool FeatureEvaluator::setImage( InputArray _image, const std::vector<float>& _s
+
+ //---------------------------------------------- HaarEvaluator ---------------------------------------
+
+-bool HaarEvaluator::Feature :: read( const FileNode& node )
++bool HaarEvaluator::Feature::read(const FileNode& node, const Size& origWinSize)
+ {
+ FileNode rnode = node[CC_RECTS];
+ FileNodeIterator it = rnode.begin(), it_end = rnode.end();
+@@ -549,11 +553,23 @@ bool HaarEvaluator::Feature :: read( const FileNode& node )
+ rect[ri].weight = 0.f;
+ }
+
++ const int W = origWinSize.width;
++ const int H = origWinSize.height;
++
+ for(ri = 0; it != it_end; ++it, ri++)
+ {
+ FileNodeIterator it2 = (*it).begin();
+- it2 >> rect[ri].r.x >> rect[ri].r.y >>
+- rect[ri].r.width >> rect[ri].r.height >> rect[ri].weight;
++ Feature::RectWeigth& rw = rect[ri];
++ it2 >> rw.r.x >> rw.r.y >> rw.r.width >> rw.r.height >> rw.weight;
++ // input validation
++ {
++ CV_CheckGE(rw.r.x, 0, "Invalid HAAR feature");
++ CV_CheckGE(rw.r.y, 0, "Invalid HAAR feature");
++ CV_CheckLT(rw.r.x, W, "Invalid HAAR feature"); // necessary for overflow checks
++ CV_CheckLT(rw.r.y, H, "Invalid HAAR feature"); // necessary for overflow checks
++ CV_CheckLE(rw.r.x + rw.r.width, W, "Invalid HAAR feature");
++ CV_CheckLE(rw.r.y + rw.r.height, H, "Invalid HAAR feature");
++ }
+ }
+
+ tilted = (int)node[CC_TILTED] != 0;
+@@ -598,7 +614,7 @@ bool HaarEvaluator::read(const FileNode& node, Size _origWinSize)
+
+ for(i = 0; i < n; i++, ++it)
+ {
+- if(!ff[i].read(*it))
++ if(!ff[i].read(*it, _origWinSize))
+ return false;
+ if( ff[i].tilted )
+ hasTiltedFeatures = true;
+@@ -759,11 +775,24 @@ int HaarEvaluator::getSquaresOffset() const
+ }
+
+ //---------------------------------------------- LBPEvaluator -------------------------------------
+-bool LBPEvaluator::Feature :: read(const FileNode& node )
++bool LBPEvaluator::Feature::read(const FileNode& node, const Size& origWinSize)
+ {
+ FileNode rnode = node[CC_RECT];
+ FileNodeIterator it = rnode.begin();
+ it >> rect.x >> rect.y >> rect.width >> rect.height;
++
++ const int W = origWinSize.width;
++ const int H = origWinSize.height;
++ // input validation
++ {
++ CV_CheckGE(rect.x, 0, "Invalid LBP feature");
++ CV_CheckGE(rect.y, 0, "Invalid LBP feature");
++ CV_CheckLT(rect.x, W, "Invalid LBP feature");
++ CV_CheckLT(rect.y, H, "Invalid LBP feature");
++ CV_CheckLE(rect.x + rect.width, W, "Invalid LBP feature");
++ CV_CheckLE(rect.y + rect.height, H, "Invalid LBP feature");
++ }
++
+ return true;
+ }
+
+@@ -797,7 +826,7 @@ bool LBPEvaluator::read( const FileNode& node, Size _origWinSize )
+ std::vector<Feature>& ff = *features;
+ for(int i = 0; it != it_end; ++it, i++)
+ {
+- if(!ff[i].read(*it))
++ if(!ff[i].read(*it, _origWinSize))
+ return false;
+ }
+ nchannels = 1;
+@@ -1477,6 +1506,8 @@ bool CascadeClassifierImpl::Data::read(const FileNode &root)
+ origWinSize.width = (int)root[CC_WIDTH];
+ origWinSize.height = (int)root[CC_HEIGHT];
+ CV_Assert( origWinSize.height > 0 && origWinSize.width > 0 );
++ CV_CheckLE(origWinSize.width, 1000000, "Invalid window size (too large)");
++ CV_CheckLE(origWinSize.height, 1000000, "Invalid window size (too large)");
+
+ // load feature params
+ FileNode fn = root[CC_FEATURE_PARAMS];
+diff --git a/modules/objdetect/src/cascadedetect.hpp b/modules/objdetect/src/cascadedetect.hpp
+index f9910530b94..d9a288fcdda 100644
+--- a/modules/objdetect/src/cascadedetect.hpp
++++ b/modules/objdetect/src/cascadedetect.hpp
+@@ -317,12 +317,12 @@ class HaarEvaluator CV_FINAL : public FeatureEvaluator
+ struct Feature
+ {
+ Feature();
+- bool read( const FileNode& node );
++ bool read(const FileNode& node, const Size& origWinSize);
+
+ bool tilted;
+
+ enum { RECT_NUM = 3 };
+- struct
++ struct RectWeigth
+ {
+ Rect r;
+ float weight;
+@@ -412,7 +412,7 @@ class LBPEvaluator CV_FINAL : public FeatureEvaluator
+ Feature( int x, int y, int _block_w, int _block_h ) :
+ rect(x, y, _block_w, _block_h) {}
+
+- bool read(const FileNode& node );
++ bool read(const FileNode& node, const Size& origWinSize);
+
+ Rect rect; // weight and height for block
+ };
+