{"schema_version":"1.7.2","id":"OESA-2026-4107","modified":"2026-09-25T01:28:28Z","published":"2026-09-25T01:28:28Z","upstream":["CVE-2026-88047","CVE-2026-88048","CVE-2026-88049","CVE-2026-88050","CVE-2026-88051","CVE-2026-88052","CVE-2026-88053","CVE-2026-88054"],"summary":"tesseract security update","details":"A commercial quality OCR engine originally developed at HP between 1985 and 1995. In 1995, this engine was among the top 3 evaluated by UNLV. It was open-sourced by HP and UNLV in 2005.\r\n\r\nSecurity Fix(es):\n\nTesseract is an open source OCR engine. In version 5.5.3 and earlier, Classify::ReadNormProtos in src/classify/normmatch.cpp parses the NORMPROTO component of a .traineddata file and uses std::istream::operator>>(char*) to extract a whitespace-delimited token into a fixed 61-byte stack buffer without setting a stream width. The 100-byte line buffer can carry a token of up to 99 characters, so a token longer than 60 characters writes up to 39 attacker-controlled bytes past the buffer during TessBaseAPI::Init of the legacy engine, causing stack corruption, denial of service, and potentially control-flow hijacking on affected standard-library implementations. Builds using Apple's libc++ C++20 bounded array overload are incidentally protected, while typical libstdc++ builds remain affected. No fixed release is available as of this review.(CVE-2026-88047)\n\nTesseract is an open source OCR engine. In version 5.5.3 and earlier, FullyConnected::DeSerialize in src/lstm/fullyconnected.cpp does not validate the deserialized layer scalars ni_ and no_ against the weight-matrix dimensions. During FullyConnected::Forward, MatrixDotVector in src/lstm/weightmatrix.cpp writes w.dim1() results into temp_line, which is sized from no_, and reads w.dim2() minus one inputs from curr_input, which is sized from ni_. A crafted .traineddata NT_SOFTMAX layer can therefore use inconsistent dimensions to cause a heap out-of-bounds write and read on the default LSTM engine, resulting in heap corruption, a crash, information disclosure, or potentially controlled corruption. No fixed release is available as of this review.(CVE-2026-88048)\n\nTesseract is an open source OCR engine. In version 5.5.3 and earlier, prior .traineddata hardening added bounds checks to NetworkIO::CopyTimeStepGeneral and NetworkIO::Randomize in src/lstm/networkio.cpp but left NetworkIO::WriteTimeStepPart and NetworkIO::AddTimeStepPart unchecked. In LSTM::Forward in src/lstm/lstm.cpp, source_ is sized from the independently deserialized na_ field while the WriteTimeStepPart count is ns_, which comes from the CI gate WeightMatrix dim1() value. A crafted NT_LSTM layer can make ns_ much larger than na_, causing a heap out-of-bounds write during the first recognition step on the default LSTM engine and resulting in heap corruption, a crash, or potentially controlled corruption. No fixed release is available as of this review.(CVE-2026-88049)\n\nTesseract is an open source OCR engine. In version 5.5.3 and earlier, RecodedCharID::DeSerialize in src/ccutil/unicharcompress.h validates length_ but accepts negative code_ values from a crafted .traineddata recoder component. UnicharCompress::ComputeCodeRange in src/ccutil/unicharcompress.cpp can consequently produce code_range_ equal to zero, after which SetupDecoder indexes is_valid_start_ with the negative code on a size-zero vector. The resulting out-of-bounds bit write uses a large wrapped index and reliably causes a wild-address crash or allocation failure on the default LSTM engine. No fixed release is available as of this review.(CVE-2026-88050)\n\nTesseract is an open source OCR engine. In version 5.5.3 and earlier, the callback form of GenericVector::read in src/ccutil/genericvector.h reads the independent int32 fields reserved and size_used_ from a .traineddata model without a cap or an invariant check. reserve(reserved) allocates the backing array, but the callback loop writes size_used_ elements. A crafted TESSDATA_INTTEMP component with version_id 4 or later can therefore set reserved to a small value and size_used_ to a large value when fontinfo_table_.read(fp, read_info) is called from src/classify/intproto.cpp, causing a heap out-of-bounds write of FontInfo structures, heap corruption, a crash, or potentially controlled corruption. No fixed release is available as of this review.(CVE-2026-88051)\n\nTesseract is an open source OCR engine. In version 5.5.3 and earlier, UNICHARSET::load_via_fgets in src/ccutil/unicharset.cpp trusts the declared unichar count as a loop bound and uses id as an unchecked index into the unichars vector. unichar_insert_backwards_compatible can leave the vector unchanged for an empty, duplicate, or already-encodable representation, causing id to become larger than unichars.size(). Subsequent set_* calls and the write to unichars[id].properties.enabled then write UNICHAR_PROPERTIES beyond the vector during initialization in both the default LSTM and legacy engines, causing heap corruption, a crash, or potentially controlled corruption. No fixed release is available as of this review.(CVE-2026-88052)\n\nTesseract is an open source OCR engine. In version 5.5.3 and earlier, Classify::ReadIntTemplates in src/classify/intproto.cpp reads NumClassPruners, NumClasses, and NumProtoSets from the TESSDATA_INTTEMP component of a crafted .traineddata file and uses those values as loop bounds without validating them against MAX_NUM_CLASS_PRUNERS, MAX_NUM_CLASSES, and MAX_NUM_PROTO_SETS. The loops store heap pointers into fixed-capacity ClassPruners and ProtoSets arrays in INT_TEMPLATES_STRUCT and INT_CLASS_STRUCT, so an oversized count causes heap out-of-bounds pointer writes during legacy-classifier initialization before OCR begins, resulting in heap corruption, a crash, or potentially controlled corruption. No fixed release is available as of this review.(CVE-2026-88053)\n\nTesseract is an open source OCR engine. In version 5.5.3 and earlier, Plumbing::DeSerialize in src/lstm/plumbing.cpp rejects excessively large network stacks but accepts a zero-length stack for NT_SERIES, NT_PARALLEL, or NT_REVERSED layers in a crafted .traineddata model. During LSTMRecognizer initialization in src/lstm/lstmrecognizer.cpp, CacheXScaleFactor(XScaleFactor()) reaches Series::CacheXScaleFactor in src/lstm/series.cpp, which dereferences stack_[0] on the empty vector and invokes a virtual method through an invalid Network pointer. This causes a deterministic crash and denial of service at model load. No fixed release is available as of this review.(CVE-2026-88054)","affected":[{"package":{"ecosystem":"openEuler:22.03-LTS-SP4","name":"tesseract","purl":"pkg:rpm/openEuler/tesseract&distro=openEuler-22.03-LTS-SP4"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"5.5.3-3.oe2203sp4"}]}],"ecosystem_specific":{"aarch64":["tesseract-5.5.3-3.oe2203sp4.aarch64.rpm","tesseract-debuginfo-5.5.3-3.oe2203sp4.aarch64.rpm","tesseract-debugsource-5.5.3-3.oe2203sp4.aarch64.rpm","tesseract-devel-5.5.3-3.oe2203sp4.aarch64.rpm","tesseract-tools-5.5.3-3.oe2203sp4.aarch64.rpm"],"src":["tesseract-5.5.3-3.oe2203sp4.src.rpm"],"x86_64":["tesseract-5.5.3-3.oe2203sp4.x86_64.rpm","tesseract-debuginfo-5.5.3-3.oe2203sp4.x86_64.rpm","tesseract-debugsource-5.5.3-3.oe2203sp4.x86_64.rpm","tesseract-devel-5.5.3-3.oe2203sp4.x86_64.rpm","tesseract-tools-5.5.3-3.oe2203sp4.x86_64.rpm"]}}],"references":[{"type":"ADVISORY","url":"https://www.openeuler.org/zh/security/security-bulletins/detail/?id=openEuler-SA-2026-4107"},{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2026-88047"},{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2026-88048"},{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2026-88049"},{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2026-88050"},{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2026-88051"},{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2026-88052"},{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2026-88053"},{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2026-88054"}],"severity":[{"type":"CVSS_V3","score":"CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H"}],"database_specific":{"severity":"High"}}