UBUNTU-CVE-2022-3510

A parsing issue similar to CVE-2022-3171, but with Message-Type Extensions in protobuf-java core and lite versions prior to 3.21.7, 3.20.3, 3.19.6 and 3.16.3 can lead to a denial of service attack. Inputs containing multiple instances of non-repeated embedded messages with repeated or unknown...

WP-Lister Lite for Amazon < 2.4.4 - Reflected XSS

The plugin does not sanitize and escapes a parameter before outputting it back in the page, leading to a Reflected Cross-Site Scripting which can be used against high-privilege users such as admin. PoC 1. Install and activate WooCommerce dependency, no setup required 2. Install and activate the...

Joy Of Text Lite < 2.3.1 - Unauthenticated SQLi

The plugin does not properly sanitise and escape some parameters before using them in SQL statements accessible to unauthenticated users, leading to unauthenticated SQL injection PoC Invoke the following curl command to induce a 5 second sleep: time curl...

Joy Of Text Lite < 2.3.1 - Unauthenticated SQLi

The plugin does not properly sanitise and escape some parameters before using them in SQL statements accessible to unauthenticated users, leading to unauthenticated SQL injection Invoke the following curl command to induce a 5 second sleep: time curl...

viva-lite.de Cross Site Scripting vulnerability OBB-3088270

Following the coordinated and responsible vulnerability disclosure guidelines of the ISO 29147 standard, Open Bug Bounty has: a. verified the vulnerability and confirmed its existence; b. notified the website operator about its existence. Technical details of the vulnerability are currently hidde...

node-sass-with-bindings (>=4.5.5, <=4.5.6) potentially affected by CVE-2022-25895 via lite-dev-server (3.2.7)

lite-dev-server NPM version 3.2.7 is affected by a known vulnerability. The following packages have a transitive dependency on lite-dev-server and may be impacted: - node-sass-with-bindings =4.5.5, =4.5.6 Source cves: CVE-2022-25895 Source advisory: SNYK:JS-LITEDEVSERVER-3153718...

Denial of Service (DoS)

Overview Affected versions of this package are vulnerable to Denial of Service DoS when an attacker sends an HTTP request and includes control characters that the decodeURI function is unable to parse. Details Denial of Service DoS describes a family of attacks, all aimed at making a system...

2cs (1.0.0), @abhishekgaps1/ts-2 (>=1.0.0, <=1.0.1) +75 more potentially affected by CVE-2022-25940 via lite-server (>=1.3.4, <=2.6.1)

lite-server NPM version =1.3.4, =1.0.0, =2.21.0, =0.0.8, =1.2.3, =1.0.48, =1.2.0, =0.1.0, =0.0.2, =1.0.0, =0.2.0, =0.2.3 - angular-two 1.0.0 - angular2-flash-message 0.0.4 and more Source cves: CVE-2022-25940 Source advisory: SNYK:JS-LITESERVER-3153540...

Denial of Service (DoS)

Overview Affected versions of this package are vulnerable to Denial of Service DoS when an attacker sends an HTTP request and includes control characters that the decodeURI function is unable to parse. Details Denial of Service DoS describes a family of attacks, all aimed at making a system...

Buffer overflow in `CONV_3D_TRANSPOSE` on TFLite

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Directory Traversal

Overview serve-lite is an a lightweight http-server for static file-based web development Affected versions of this package are vulnerable to Directory Traversal due to missing input sanitization or other checks and protections employed to the req.url passed as-is to path.join. PoC 1 Install the...

Cross-site Scripting (XSS)

Overview serve-lite is an a lightweight http-server for static file-based web development Affected versions of this package are vulnerable to Cross-site Scripting XSS because when it detects a request to a directory, it renders a file listing of all of its contents with links that include the...

Buffer overflow in `CONV_3D_TRANSPOSE` on TFLite

Impact The reference kernel of the CONV3DTRANSPOSE TensorFlow Lite operator wrongly increments the dataptr when adding the bias to the result. Instead of dataptr += numchannels; it should be dataptr += outputnumchannels; as if the number of input channels is different than the number of output...

Denial of Service (DoS)

Overview Affected versions of this package are vulnerable to Denial of Service DoS when SparseFillEmptyRowsGrad is given empty inputs. Details Denial of Service DoS describes a family of attacks, all aimed at making a system inaccessible to its intended and legitimate users. Unlike other...

Out-of-Bounds

Overview Affected versions of this package are vulnerable to Out-of-Bounds in DynamicStitch due to missing validation when it receives a differing number of inputs, such as when it is called with an indices size 1 and a data size 2. Remediation Upgrade tensorflow-lite to version 2.12.0 or higher...

Always-Incorrect Control Flow Implementation

Overview Affected versions of this package are vulnerable to Always-Incorrect Control Flow Implementation when a numpy array is created with a shape such that one element is zero and the sum of others is a large number. Remediation Upgrade tensorflow-lite to version 2.12.0 or higher. References -...

Buffer Overflow

Overview Affected versions of this package are vulnerable to Buffer Overflow via tf.rawops.ImageProjectiveTransformV2 when a large output shape is given. Remediation Upgrade tensorflow-lite to version 2.12.0 or higher. References - GitHub Commit - Vulnerable Code Credit: Neophytos Christou from S...

Incorrect Calculation of Buffer Size

Overview Affected versions of this package are vulnerable to Incorrect Calculation of Buffer Size via tf.keras.losses.poisson which receives a ypred and ytrue that are passed through functor::mul in BinaryOp. If the resulting dimensions overflow an int32, TensorFlow will crash due to a size...

Out-of-bounds Read

Overview Affected versions of this package are vulnerable to Out-of-bounds Read when the BaseCandidateSamplerOp function receives a value in trueclasses larger than rangemax. Remediation Upgrade tensorflow-lite to version 2.12.0 or higher. References - GitHub Commit - Vulnerable Code Credit: Yu...

Improper Input Validation

Overview Affected versions of this package are vulnerable to Improper Input Validation due to a missing check of tf.image.generateboundingboxproposals that receives a scores input that must be of rank 4 when running on GPU. Remediation Upgrade tensorflow-lite to version 2.12.0 or higher. Referenc...