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The Common Vulnerabilities and Exposures (CVE) project, maintained by the MITRE Corporation, is a list of all standardized names for vulnerabilities and security exposures.

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IDDescriptionPriorityModified date
CVE-2020-15245 In Sylius before versions 1.6.9, 1.7.9 and 1.8.3, the user may register in a shop by email mail@example.com, verify it, change it to the mail another@domain.com and stay verified and enabled. This may lead to having accounts addressed to totally different emails, that were verified. Note, that this way one is not able to take over any existing account (guest or normal one). The issue has been patched in Sylius 1.6.9, 1.7.9 and 1.8.3. As a workaround, you may resolve this issue on your own by creating a custom event listener, which will listen to the sylius.customer.pre_update event. You can determine that email has been changed if customer email and user username are different. They are synchronized later on. Pay attention, to email changing behavior for administrators. You may need to skip this logic for them. In order to achieve this, you should either check master request path info, if it does not contain /admin prefix or adjust event triggered during customer update in the shop. You can find more information on how to customize the event here. LOW Oct 19, 2020
CVE-2020-15244 In Magento (rubygems openmage/magento-lts package) before versions 19.4.8 and 20.0.4, an admin user can generate soap credentials that can be used to trigger RCE via PHP Object Injection through product attributes and a product. The issue is patched in versions 19.4.8 and 20.0.4. MEDIUM Oct 21, 2020
CVE-2020-15243 Affected versions of Smartstore have a missing WebApi Authentication attribute. This vulnerability affects Smartstore shops in version 4.0.0 & 4.0.1 which have installed and activated the Web API plugin. Users of Smartstore 4.0.0 and 4.0.1 must merge their repository with 4.0.x or overwrite the file SmartStore.Web.Framework in the */bin* directory of the deployed shop with this file. As a workaround without updating uninstall the Web API plugin to close this vulnerability. HIGH Oct 9, 2020
CVE-2020-15242 Next.js versions >=9.5.0 and <9.5.4 are vulnerable to an Open Redirect. Specially encoded paths could be used with the trailing slash redirect to allow an open redirect to occur to an external site. In general, this redirect does not directly harm users although can allow for phishing attacks by redirecting to an attackers domain from a trusted domain. The issue is fixed in version 9.5.4. MEDIUM Oct 8, 2020
CVE-2020-15241 TYPO3 Fluid Engine (package `typo3fluid/fluid`) before versions 2.0.5, 2.1.4, 2.2.1, 2.3.5, 2.4.1, 2.5.5 or 2.6.1 is vulnerable to cross-site scripting when making use of the ternary conditional operator in templates like `{showFullName ? fullName : defaultValue}`. Updated versions of this package are bundled in following TYPO3 (`typo3/cms-core`) versions as well: TYPO3 v8.7.25 (using `typo3fluid/fluid` v2.5.4) and TYPO3 v9.5.6 (using `typo3fluid/fluid` v2.6.1). MEDIUM Oct 8, 2020
CVE-2020-15240 omniauth-auth0 (rubygems) versions >= 2.3.0 and < 2.4.1 improperly validate the JWT token signature when using the `jwt_validator.verify` method. Improper validation of the JWT token signature can allow an attacker to bypass authentication and authorization. You are affected by this vulnerability if all of the following conditions apply: 1. You are using `omniauth-auth0`. 2. You are using `JWTValidator.verify` method directly OR you are not authenticating using the SDK’s default Authorization Code Flow. The issue is patched in version 2.4.1. MEDIUM Oct 21, 2020
CVE-2020-15239 In xmpp-http-upload before version 0.4.0, when the GET method is attacked, attackers can read files which have a `.data` suffix and which are accompanied by a JSON file with the `.meta` suffix. This can lead to Information Disclosure and in some shared-hosting scenarios also to circumvention of authentication or other limitations on the outbound (GET) traffic. For example, in a scenario where a single server has multiple instances of the application running (with separate DATA_ROOT settings), an attacker who has knowledge about the directory structure is able to read files from any other instance to which the process has read access. If instances have individual authentication (for example, HTTP authentication via a reverse proxy, source IP based filtering) or other restrictions (such as quotas), attackers may circumvent those limits in such a scenario by using the Directory Traversal to retrieve data from the other instances. If the associated XMPP server (or anyone knowing the SECRET_KEY) is malicious, they can write files outside the DATA_ROOT. The files which are written are constrained to have the `.meta` and the `.data` suffixes; the `.meta` file will contain the JSON with the Content-Type of the original request and the `.data` file will contain the payload. The issue is patched in version 0.4.0. MEDIUM Oct 6, 2020
CVE-2020-15238 Blueman is a GTK+ Bluetooth Manager. In Blueman before 2.1.4, the DhcpClient method of the D-Bus interface to blueman-mechanism is prone to an argument injection vulnerability. The impact highly depends on the system configuration. If Polkit-1 is disabled and for versions lower than 2.0.6, any local user can possibly exploit this. If Polkit-1 is enabled for version 2.0.6 and later, a possible attacker needs to be allowed to use the `org.blueman.dhcp.client` action. That is limited to users in the wheel group in the shipped rules file that do have the privileges anyway. On systems with ISC DHCP client (dhclient), attackers can pass arguments to `ip link` with the interface name that can e.g. be used to bring down an interface or add an arbitrary XDP/BPF program. On systems with dhcpcd and without ISC DHCP client, attackers can even run arbitrary scripts by passing `-c/path/to/script` as an interface name. Patches are included in 2.1.4 and master that change the DhcpClient D-Bus method(s) to accept BlueZ network object paths instead of network interface names. A backport to 2.0(.8) is also available. As a workaround, make sure that Polkit-1-support is enabled and limit privileges for the `org.blueman.dhcp.client` action to users that are able to run arbitrary commands as root anyway in /usr/share/polkit-1/rules.d/blueman.rules. MEDIUM Oct 28, 2020
CVE-2020-15237 In Shrine before version 3.3.0, when using the `derivation_endpoint` plugin, it\'s possible for the attacker to use a timing attack to guess the signature of the derivation URL. The problem has been fixed by comparing sent and calculated signature in constant time, using `Rack::Utils.secure_compare`. Users using the `derivation_endpoint` plugin are urged to upgrade to Shrine 3.3.0 or greater. A possible workaround is provided in the linked advisory. MEDIUM Oct 5, 2020
CVE-2020-15236 In Wiki.js before version 2.5.151, directory traversal outside of Wiki.js context is possible when a storage module with local asset cache fetching is enabled. A malicious user can potentially read any file on the file system by crafting a special URL that allows for directory traversal. This is only possible when a storage module implementing local asset cache (e.g Local File System or Git) is enabled and that no web application firewall solution (e.g. cloudflare) strips potentially malicious URLs. Commit 084dcd69d1591586ee4752101e675d5f0ac6dcdc fixes this vulnerability by sanitizing the path before it is passed on to the storage module. The sanitization step removes any directory traversal (e.g. `..` and `.`) sequences as well as invalid filesystem characters from the path. As a workaround, disable any storage module with local asset caching capabilities such as Local File System and Git. MEDIUM Oct 9, 2020
CVE-2020-15235 In RACTF before commit f3dc89b, unauthenticated users are able to get the value of sensitive config keys that would normally be hidden to everyone except admins. All versions after commit f3dc89b9f6ab1544a289b3efc06699b13d63e0bd(3/10/20) are patched. MEDIUM Oct 5, 2020
CVE-2020-15234 ORY Fosite is a security first OAuth2 & OpenID Connect framework for Go. In Fosite before version 0.34.1, the OAuth 2.0 Client\'s registered redirect URLs and the redirect URL provided at the OAuth2 Authorization Endpoint where compared using strings.ToLower while they should have been compared with a simple string match. This allows an attacker to register a client with allowed redirect URL https://example.com/callback. Then perform an OAuth2 flow and requesting redirect URL https://example.com/CALLBACK. Instead of an error (invalid redirect URL), the browser is redirected to https://example.com/CALLBACK with a potentially successful OAuth2 response, depending on the state of the overall OAuth2 flow (the user might still deny the request for example). This vulnerability has been patched in ORY Fosite v0.34.1. MEDIUM Oct 5, 2020
CVE-2020-15233 ORY Fosite is a security first OAuth2 & OpenID Connect framework for Go. In Fosite from version 0.30.2 and before version 0.34.1, there is an issue in which an an attacker can override the registered redirect URL by performing an OAuth flow and requesting a redirect URL that is to the loopback adapter. Attackers can provide both custom URL query parameters to their loopback redirect URL, as well as actually overriding the host of the registered redirect URL. These attacks are only applicable in scenarios where the attacker has access over the loopback interface. This vulnerability has been patched in ORY Fosite v0.34.1. MEDIUM Oct 5, 2020
CVE-2020-15232 In mapfish-print before version 3.24, a user can do to an XML External Entity (XXE) attack with the provided SDL style. MEDIUM Oct 8, 2020
CVE-2020-15231 In mapfish-print before version 3.24, a user can use the JSONP support to do a Cross-site scripting. MEDIUM Oct 8, 2020
CVE-2020-15230 Vapor is a web framework for Swift. In Vapor before version 4.29.4, Attackers can access data at arbitrary filesystem paths on the same host as an application. Only applications using FileMiddleware are affected. This is fixed in version 4.29.4. MEDIUM Oct 5, 2020
CVE-2020-15229 Singularity (an open source container platform) from version 3.1.1 through 3.6.3 has a vulnerability. Due to insecure handling of path traversal and the lack of path sanitization within `unsquashfs`, it is possible to overwrite/create any files on the host filesystem during the extraction with a crafted squashfs filesystem. The extraction occurs automatically for unprivileged (either installation or with `allow setuid = no`) run of Singularity when a user attempt to run an image which is a local SIF image or a single file containing a squashfs filesystem and is coming from remote sources `library://` or `shub://`. Image build is also impacted in a more serious way as it can be used by a root user, allowing an attacker to overwrite/create files leading to a system compromise, so far bootstrap methods `library`, `shub` and `localimage` are triggering the squashfs extraction. This issue is addressed in Singularity 3.6.4. All users are advised to upgrade to 3.6.4 especially if they use Singularity mainly for building image as root user. There is no solid workaround except to temporary avoid to use unprivileged mode with single file images in favor of sandbox images instead. Regarding image build, temporary avoid to build from `library` and `shub` sources and as much as possible use `--fakeroot` or a VM for that. MEDIUM Oct 14, 2020
CVE-2020-15228 In the `@actions/core` npm module before version 1.2.6,`addPath` and `exportVariable` functions communicate with the Actions Runner over stdout by generating a string in a specific format. Workflows that log untrusted data to stdout may invoke these commands, resulting in the path or environment variables being modified without the intention of the workflow or action author. The runner will release an update that disables the `set-env` and `add-path` workflow commands in the near future. For now, users should upgrade to `@actions/core v1.2.6` or later, and replace any instance of the `set-env` or `add-path` commands in their workflows with the new Environment File Syntax. Workflows and actions using the old commands or older versions of the toolkit will start to warn, then error out during workflow execution. MEDIUM Oct 1, 2020
CVE-2020-15227 Nette versions before 2.0.19, 2.1.13, 2.2.10, 2.3.14, 2.4.16, 3.0.6 are vulnerable to an code injection attack by passing specially formed parameters to URL that may possibly leading to RCE. Nette is a PHP/Composer MVC Framework. HIGH Oct 1, 2020
CVE-2020-15226 In GLPI before version 9.5.2, there is a SQL Injection in the API\'s search function. Not only is it possible to break the SQL syntax, but it is also possible to utilise a UNION SELECT query to reflect sensitive information such as the current database version, or database user. The most likely scenario for this vulnerability is with someone who has an API account to the system. The issue is patched in version 9.5.2. A proof-of-concept with technical details is available in the linked advisory. MEDIUM Oct 7, 2020
CVE-2020-15225 django-filter is a generic system for filtering Django QuerySets based on user selections. In django-filter before version 2.4.0, automatically generated `NumberFilter` instances, whose value was later converted to an integer, were subject to potential DoS from maliciously input using exponential format with sufficiently large exponents. Version 2.4.0+ applies a `MaxValueValidator` with a a default `limit_value` of 1e50 to the form field used by `NumberFilter` instances. In addition, `NumberFilter` implements the new `get_max_validator()` which should return a configured validator instance to customise the limit, or else `None` to disable the additional validation. Users may manually apply an equivalent validator if they are not able to upgrade. MEDIUM Apr 29, 2021
CVE-2020-15224 In Open Enclave before version 0.12.0, an information disclosure vulnerability exists when an enclave application using the syscalls provided by the sockets.edl is loaded by a malicious host application. An attacker who successfully exploited the vulnerability could read privileged data from the enclave heap across trust boundaries. To exploit this vulnerability, an attacker would have to log on to an affected system and run a specially crafted application. The vulnerability would not allow an attacker to elevate user rights directly, but it could be used to obtain information otherwise considered confidential in an enclave, which could be used in further compromises. The issue has been addressed in version 0.12.0 and the current master branch. Users will need to to recompile their applications against the patched libraries to be protected from this vulnerability. LOW Oct 14, 2020
CVE-2020-15223 In ORY Fosite (the security first OAuth2 & OpenID Connect framework for Go) before version 0.34.0, the `TokenRevocationHandler` ignores errors coming from the storage. This can lead to unexpected 200 status codes indicating successful revocation while the token is still valid. Whether an attacker can use this for her advantage depends on the ability to trigger errors in the store. This is fixed in version 0.34.0 MEDIUM Sep 24, 2020
CVE-2020-15222 In ORY Fosite (the security first OAuth2 & OpenID Connect framework for Go) before version 0.31.0, when using private_key_jwt authentication the uniqueness of the `jti` value is not checked. When using client authentication method private_key_jwt, OpenId specification says the following about assertion `jti`: A unique identifier for the token, which can be used to prevent reuse of the token. These tokens MUST only be used once, unless conditions for reuse were negotiated between the parties. Hydra does not seem to check the uniqueness of this `jti` value. This problem is fixed in version 0.31.0. MEDIUM Sep 24, 2020
CVE-2020-15221 Combodo iTop is a web based IT Service Management tool. In iTop before versions 2.7.2 and 3.0.0, by modifying target browser local storage, an XSS can be generated in the iTop console breadcrumb. This is fixed in versions 2.7.2 and 3.0.0. LOW Jan 15, 2021
CVE-2020-15220 Combodo iTop is a web based IT Service Management tool. In iTop before versions 2.7.2 and 3.0.0, two cookies are created for the same session, which leads to a possibility to steal user session. This is fixed in versions 2.7.2 and 3.0.0. MEDIUM Jan 15, 2021
CVE-2020-15219 Combodo iTop is a web based IT Service Management tool. In iTop before versions 2.7.2 and 3.0.0, when a download error is triggered in the user portal, an SQL query is displayed to the user. This is fixed in versions 2.7.2 and 3.0.0. MEDIUM Jan 15, 2021
CVE-2020-15218 Combodo iTop is a web based IT Service Management tool. In iTop before versions 2.7.2 and 3.0.0, admin pages are cached, so that their content is visible after deconnection by using the browser back button. This is fixed in versions 2.7.2 and 3.0.0. LOW Jan 15, 2021
CVE-2020-15217 In GLPI before version 9.5.2, there is a leakage of user information through the public FAQ. The issue was introduced in version 9.5.0 and patched in 9.5.2. As a workaround, disable public access to the FAQ. MEDIUM Oct 7, 2020
CVE-2020-15216 In goxmldsig (XML Digital Signatures implemented in pure Go) before version 1.1.0, with a carefully crafted XML file, an attacker can completely bypass signature validation and pass off an altered file as a signed one. A patch is available, all users of goxmldsig should upgrade to at least revision f6188febf0c29d7ffe26a0436212b19cb9615e64 or version 1.1.0 MEDIUM Oct 8, 2020
CVE-2020-15215 Electron before versions 11.0.0-beta.6, 10.1.2, 9.3.1 or 8.5.2 is vulnerable to a context isolation bypass. Apps using both `contextIsolation` and `sandbox: true` are affected. Apps using both `contextIsolation` and `nodeIntegrationInSubFrames: true` are affected. This is a context isolation bypass, meaning that code running in the main world context in the renderer can reach into the isolated Electron context and perform privileged actions. MEDIUM Oct 6, 2020
CVE-2020-15214 In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger a write out bounds / segmentation fault if the segment ids are not sorted. Code assumes that the segment ids are in increasing order, using the last element of the tensor holding them to determine the dimensionality of output tensor. This results in allocating insufficient memory for the output tensor and in a write outside the bounds of the output array. This usually results in a segmentation fault, but depending on runtime conditions it can provide for a write gadget to be used in future memory corruption-based exploits. The issue is patched in commit 204945b19e44b57906c9344c0d00120eeeae178a and is released in TensorFlow versions 2.2.1, or 2.3.1. A potential workaround would be to add a custom `Verifier` to the model loading code to ensure that the segment ids are sorted, although this only handles the case when the segment ids are stored statically in the model. A similar validation could be done if the segment ids are generated at runtime between inference steps. If the segment ids are generated as outputs of a tensor during inference steps, then there are no possible workaround and users are advised to upgrade to patched code. MEDIUM Sep 26, 2020
CVE-2020-15213 In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger a denial of service by causing an out of memory allocation in the implementation of segment sum. Since code uses the last element of the tensor holding them to determine the dimensionality of output tensor, attackers can use a very large value to trigger a large allocation. The issue is patched in commit 204945b19e44b57906c9344c0d00120eeeae178a and is released in TensorFlow versions 2.2.1, or 2.3.1. A potential workaround would be to add a custom `Verifier` to limit the maximum value in the segment ids tensor. This only handles the case when the segment ids are stored statically in the model, but a similar validation could be done if the segment ids are generated at runtime, between inference steps. However, if the segment ids are generated as outputs of a tensor during inference steps, then there are no possible workaround and users are advised to upgrade to patched code. MEDIUM Sep 26, 2020
CVE-2020-15212 In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger writes outside of bounds of heap allocated buffers by inserting negative elements in the segment ids tensor. Users having access to `segment_ids_data` can alter `output_index` and then write to outside of `output_data` buffer. This might result in a segmentation fault but it can also be used to further corrupt the memory and can be chained with other vulnerabilities to create more advanced exploits. The issue is patched in commit 204945b19e44b57906c9344c0d00120eeeae178a and is released in TensorFlow versions 2.2.1, or 2.3.1. A potential workaround would be to add a custom `Verifier` to the model loading code to ensure that the segment ids are all positive, although this only handles the case when the segment ids are stored statically in the model. A similar validation could be done if the segment ids are generated at runtime between inference steps. If the segment ids are generated as outputs of a tensor during inference steps, then there are no possible workaround and users are advised to upgrade to patched code. HIGH Sep 26, 2020
CVE-2020-15211 In TensorFlow Lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, saved models in the flatbuffer format use a double indexing scheme: a model has a set of subgraphs, each subgraph has a set of operators and each operator has a set of input/output tensors. The flatbuffer format uses indices for the tensors, indexing into an array of tensors that is owned by the subgraph. This results in a pattern of double array indexing when trying to get the data of each tensor. However, some operators can have some tensors be optional. To handle this scenario, the flatbuffer model uses a negative `-1` value as index for these tensors. This results in special casing during validation at model loading time. Unfortunately, this means that the `-1` index is a valid tensor index for any operator, including those that don\'t expect optional inputs and including for output tensors. Thus, this allows writing and reading from outside the bounds of heap allocated arrays, although only at a specific offset from the start of these arrays. This results in both read and write gadgets, albeit very limited in scope. The issue is patched in several commits (46d5b0852, 00302787b7, e11f5558, cd31fd0ce, 1970c21, and fff2c83), and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. A potential workaround would be to add a custom `Verifier` to the model loading code to ensure that only operators which accept optional inputs use the `-1` special value and only for the tensors that they expect to be optional. Since this allow-list type approach is erro-prone, we advise upgrading to the patched code. MEDIUM Sep 26, 2020
CVE-2020-15210 In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b and will release patch releases for all versions between 1.15 and 2.3. We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. MEDIUM Sep 26, 2020
CVE-2020-15209 In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, a crafted TFLite model can force a node to have as input a tensor backed by a `nullptr` buffer. This can be achieved by changing a buffer index in the flatbuffer serialization to convert a read-only tensor to a read-write one. The runtime assumes that these buffers are written to before a possible read, hence they are initialized with `nullptr`. However, by changing the buffer index for a tensor and implicitly converting that tensor to be a read-write one, as there is nothing in the model that writes to it, we get a null pointer dereference. The issue is patched in commit 0b5662bc, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. MEDIUM Sep 26, 2020
CVE-2020-15208 In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, when determining the common dimension size of two tensors, TFLite uses a `DCHECK` which is no-op outside of debug compilation modes. Since the function always returns the dimension of the first tensor, malicious attackers can craft cases where this is larger than that of the second tensor. In turn, this would result in reads/writes outside of bounds since the interpreter will wrongly assume that there is enough data in both tensors. The issue is patched in commit 8ee24e7949a203d234489f9da2c5bf45a7d5157d, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. HIGH Sep 26, 2020
CVE-2020-15207 In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, to mimic Python\'s indexing with negative values, TFLite uses `ResolveAxis` to convert negative values to positive indices. However, the only check that the converted index is now valid is only present in debug builds. If the `DCHECK` does not trigger, then code execution moves ahead with a negative index. This, in turn, results in accessing data out of bounds which results in segfaults and/or data corruption. The issue is patched in commit 2d88f470dea2671b430884260f3626b1fe99830a, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. MEDIUM Sep 26, 2020
CVE-2020-15206 In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, changing the TensorFlow\'s `SavedModel` protocol buffer and altering the name of required keys results in segfaults and data corruption while loading the model. This can cause a denial of service in products using `tensorflow-serving` or other inference-as-a-service installments. Fixed were added in commits f760f88b4267d981e13f4b302c437ae800445968 and fcfef195637c6e365577829c4d67681695956e7d (both going into TensorFlow 2.2.0 and 2.3.0 but not yet backported to earlier versions). However, this was not enough, as #41097 reports a different failure mode. The issue is patched in commit adf095206f25471e864a8e63a0f1caef53a0e3a6, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. MEDIUM Sep 26, 2020
CVE-2020-15205 In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `data_splits` argument of `tf.raw_ops.StringNGrams` lacks validation. This allows a user to pass values that can cause heap overflow errors and even leak contents of memory In the linked code snippet, all the binary strings after `ee ff` are contents from the memory stack. Since these can contain return addresses, this data leak can be used to defeat ASLR. The issue is patched in commit 0462de5b544ed4731aa2fb23946ac22c01856b80, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. HIGH Sep 26, 2020
CVE-2020-15204 In eager mode, TensorFlow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1 does not set the session state. Hence, calling `tf.raw_ops.GetSessionHandle` or `tf.raw_ops.GetSessionHandleV2` results in a null pointer dereference In linked snippet, in eager mode, `ctx->session_state()` returns `nullptr`. Since code immediately dereferences this, we get a segmentation fault. The issue is patched in commit 9a133d73ae4b4664d22bd1aa6d654fec13c52ee1, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. MEDIUM Sep 26, 2020
CVE-2020-15203 In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, by controlling the `fill` argument of tf.strings.as_string, a malicious attacker is able to trigger a format string vulnerability due to the way the internal format use in a `printf` call is constructed. This may result in segmentation fault. The issue is patched in commit 33be22c65d86256e6826666662e40dbdfe70ee83, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. MEDIUM Sep 26, 2020
CVE-2020-15202 In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `Shard` API in TensorFlow expects the last argument to be a function taking two `int64` (i.e., `long long`) arguments. However, there are several places in TensorFlow where a lambda taking `int` or `int32` arguments is being used. In these cases, if the amount of work to be parallelized is large enough, integer truncation occurs. Depending on how the two arguments of the lambda are used, this can result in segfaults, read/write outside of heap allocated arrays, stack overflows, or data corruption. The issue is patched in commits 27b417360cbd671ef55915e4bb6bb06af8b8a832 and ca8c013b5e97b1373b3bb1c97ea655e69f31a575, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. MEDIUM Sep 26, 2020
CVE-2020-15201 In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Hence, the code is prone to heap buffer overflow. If `split_values` does not end with a value at least `num_values` then the `while` loop condition will trigger a read outside of the bounds of `split_values` once `batch_idx` grows too large. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1. MEDIUM Sep 26, 2020
CVE-2020-15200 In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Thus, the code sets up conditions to cause a heap buffer overflow. A `BatchedMap` is equivalent to a vector where each element is a hashmap. However, if the first element of `splits_values` is not 0, `batch_idx` will never be 1, hence there will be no hashmap at index 0 in `per_batch_counts`. Trying to access that in the user code results in a segmentation fault. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1. MEDIUM Sep 26, 2020
CVE-2020-15199 In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the `splits` tensor has the minimum required number of elements. Code uses this quantity to initialize a different data structure. Since `BatchedMap` is equivalent to a vector, it needs to have at least one element to not be `nullptr`. If user passes a `splits` tensor that is empty or has exactly one element, we get a `SIGABRT` signal raised by the operating system. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1. MEDIUM Sep 26, 2020
CVE-2020-15198 In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has the same shape as the `values` one. The values in these tensors are always accessed in parallel. Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1. MEDIUM Sep 26, 2020
CVE-2020-15197 In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has rank 2. This tensor must be a matrix because code assumes its elements are accessed as elements of a matrix. However, malicious users can pass in tensors of different rank, resulting in a `CHECK` assertion failure and a crash. This can be used to cause denial of service in serving installations, if users are allowed to control the components of the input sparse tensor. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1. LOW Sep 26, 2020
CVE-2020-15196 In Tensorflow version 2.3.0, the `SparseCountSparseOutput` and `RaggedCountSparseOutput` implementations don\'t validate that the `weights` tensor has the same shape as the data. The check exists for `DenseCountSparseOutput`, where both tensors are fully specified. In the sparse and ragged count weights are still accessed in parallel with the data. But, since there is no validation, a user passing fewer weights than the values for the tensors can generate a read from outside the bounds of the heap buffer allocated for the weights. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1. MEDIUM Sep 26, 2020
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