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osv_pysec
osv_pysec
•added 2026/07/13 2:36 p.m.•26 views

PYSEC-2026-2615 Magic Wormhole: "wormhole receive" allows arbitrary local file overwrite

Impact What kind of vulnerability is it? Who is impacted? Receiving a file wormhole receive from a malicious party could result in overwriting critical local files, including /.ssh/authorizedkeys and .bashrc. This could be used to compromise the receiver's computer. Only the sender of the file th...

8.2CVSS5.5AI score0.00527EPSS
SaveExploits0References5
osv_pysec
osv_pysec
•added 2026/07/13 2:19 p.m.•21 views

PYSEC-2026-3178 Heap overflow in `QuantizeAndDequantizeV2`

Impact The function MakeGrapplerFunctionItem takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. python import tensorflow as tf @tf.function def test:...

4.8CVSS8AI score0.00439EPSS
SaveExploits0References7
osv_pysec
osv_pysec
•added 2026/07/13 2:19 p.m.•21 views

PYSEC-2026-3275 Overflow in `ImageProjectiveTransformV2`

Impact When tf.rawops.ImageProjectiveTransformV2 is given a large output shape, it overflows. python import tensorflow as tf interpolation = "BILINEAR" fillmode = "REFLECT" images = tf.constant0.184634328, shape=2,5,8,3, dtype=tf.float32 transforms = tf.constant0.378575385, shape=2,8,...

4.8CVSS7.1AI score0.00463EPSS
SaveExploits1References7
osv_pysec
osv_pysec
•added 2026/07/13 2:19 p.m.•20 views

PYSEC-2026-3105 Overflow in `ImageProjectiveTransformV2`

Impact When tf.rawops.ImageProjectiveTransformV2 is given a large output shape, it overflows. python import tensorflow as tf interpolation = "BILINEAR" fillmode = "REFLECT" images = tf.constant0.184634328, shape=2,5,8,3, dtype=tf.float32 transforms = tf.constant0.378575385, shape=2,8,...

4.8CVSS7.1AI score0.00463EPSS
SaveExploits1References7
PyPA
PyPA
•added 2026/07/13 2:19 p.m.•26 views

Overflow in `ImageProjectiveTransformV2`

ImpactWhen tf.rawops.ImageProjectiveTransformV2 is given a large output shape, it overflows.pythonimport tensorflow as tfinterpolation = "BILINEAR"fillmode = "REFLECT"images = tf.constant0.184634328, shape=2,5,8,3, dtype=tf.float32transforms = tf.constant0.378575385, shape=2,8,...

7.5CVSS7.1AI score0.00463EPSS
SaveExploits1References7Affected Software1
osv_pysec
osv_pysec
•added 2026/07/13 2:19 p.m.•18 views

PYSEC-2026-3303 TensorFlow vulnerable to `CHECK` fail in `LRNGrad`

Impact If LRNGrad is given an outputimage input tensor that is not 4-D, it results in a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf depthradius = 1 bias = 1.59018219 alpha = 0.117728651 beta = 0.404427052 inputgrads = tf.random.uniformshape=4,...

5.9CVSS7.1AI score0.00478EPSS
SaveExploits0References7
PyPA
PyPA
•added 2026/07/13 2:19 p.m.•23 views

TensorFlow vulnerable to `CHECK` fail in `LRNGrad`

ImpactIf LRNGrad is given an outputimage input tensor that is not 4-D, it results in a CHECK fail that can be used to trigger a denial of service attack.pythonimport tensorflow as tfdepthradius = 1bias = 1.59018219alpha = 0.117728651beta = 0.404427052inputgrads = tf.random.uniformshape=4, 4, 4, 4...

7.5CVSS7.2AI score0.00478EPSS
SaveExploits0References7Affected Software1
PyPA
PyPA
•added 2026/07/13 2:19 p.m.•26 views

TensorFlow vulnerable to `CHECK` fail in `LRNGrad`

ImpactIf LRNGrad is given an outputimage input tensor that is not 4-D, it results in a CHECK fail that can be used to trigger a denial of service attack.pythonimport tensorflow as tfdepthradius = 1bias = 1.59018219alpha = 0.117728651beta = 0.404427052inputgrads = tf.random.uniformshape=4, 4, 4, 4...

7.5CVSS7.2AI score0.00478EPSS
SaveExploits0References7Affected Software1
osv_pysec
osv_pysec
•added 2026/07/13 2:19 p.m.•19 views

PYSEC-2026-3147 TensorFlow vulnerable to `CHECK` fail in `LRNGrad`

Impact If LRNGrad is given an outputimage input tensor that is not 4-D, it results in a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf depthradius = 1 bias = 1.59018219 alpha = 0.117728651 beta = 0.404427052 inputgrads = tf.random.uniformshape=4,...

5.9CVSS7.1AI score0.00478EPSS
SaveExploits0References7
EUVD
EUVD
•added 2026/07/13 9:31 a.m.•39 views

EUVD-2026-43297

Certain devices in the WAGO System I/O Field series activate an internal diagnostic capability during the initial startup sequence. This functionality is not formally documented and becomes accessible without authentication for a brief period in the early boot phase. During this window, an...

9.8CVSS6.1AI score0.00757EPSS
SaveExploits0References2
CVE
CVE
•added 2026/07/13 6:00 a.m.•72 views

CVE-2026-10551

The Breeze Cache WordPress plugin (versions prior to 2.5.6 ) is vulnerable to unauthenticated Stored Cross-Site Scripting (XSS) . The root cause is a predictable replacement hash used during the HTML minification process, which, when combined with a regular expression abuse, allows an attacker to...

6.1CVSS6.2AI score0.00253EPSS
SaveExploits0References1
Cvelist
Cvelist
•added 2026/07/13 3:41 a.m.•68 views

CVE-2026-9492 GIGABYTE|Gigabyte Control Center - Improper Access Control

The MBStorage DRAM lighting control module within Gigabyte Control Center GCC developed by GIGABYTE Technology has an Improper Access Control vulnerability. Authenticated local attackers can send specific IOCTL commands through the driver MyPortIOx64.sys bundled with the module, thereby arbitrari...

8.5CVSS0.00157EPSS
SaveExploits0References2
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•22 views

PT-2026-59674

Summary A stored Cross-site Scripting XSS vulnerability was identified in the Identity Name of the WebUI where attacker-controlled input is persisted by the backend and later rendered in the WebUI without proper output encoding. This allows arbitrary JavaScript execution in the context of the Web...

6.1CVSS5.9AI score0.0047EPSS
SaveExploits1References10
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•19 views

PT-2026-59993

Impact If Requantize is given input min, input max, requested output min, requested output max tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf out type = tf.quint8 input = tf.constant1, shape=3,...

7.5CVSS7.2AI score0.0051EPSS
SaveExploits0References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•46 views

PT-2026-59169

Summary GuardDog includes attacker-controlled filenames, file locations, messages, and code snippets in its default human-readable output without escaping terminal control characters. A malicious package can therefore inject ANSI or OSC escape sequences into analyst terminals or CI logs...

5CVSS5.9AI score0.0015EPSS
SaveExploits0References6
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•34 views

PT-2026-59071

The github workflows module constructs local directory paths from user-controlled repository names without validating for symlinks. A local attacker sharing the scan directory can plant a symlink at the predictable output path, causing workflow data to be written to an attacker-chosen location...

2.2CVSS5.8AI score0.00091EPSS
SaveExploits0References7
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•25 views

PT-2026-59693

A security flaw has been discovered in dubydu sqlite-mcp up to 0.1.0. The affected element is the function extract to json of the file src/entry.py. Performing a manipulation of the argument output filename results in sql injection. Remote exploitation of the attack is possible. The exploit has...

7.5CVSS6.8AI score0.00435EPSS
SaveExploits0References11
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•29 views

PT-2026-59890

Impact When tf.raw ops.ImageProjectiveTransformV2 is given a large output shape, it overflows. python import tensorflow as tf interpolation = "BILINEAR" fill mode = "REFLECT" images = tf.constant0.184634328, shape=2,5,8,3, dtype=tf.float32 transforms = tf.constant0.378575385, shape=2,8,...

7.5CVSS7.1AI score0.00463EPSS
SaveExploits1References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•26 views

PT-2026-59238

Summary The LangSmith SDK's output redaction controls hideOutputs in JS, hide outputs in Python do not apply to streaming token events. When an LLM run produces streaming output, each chunk is recorded as a new token event containing the raw token value. These events bypass the redaction pipeline...

5.3CVSS5.3AI score0.00358EPSS
SaveExploits0References6
Rapid7 Vulnerability Database (full)
Rapid7 Vulnerability Database (full)
•added 2026/07/13 12:00 a.m.•11 views

CVE-2026-62184: Improper Encoding or Escaping of Output

luci-app-banip contains a log parsing vulnerability where the awk-based parser extracts the first IPv4 address from log lines regardless of field position, allowing attackers to inject arbitrary IPs via attacker-controlled fields like usernames. An unauthenticated remote attacker can inject an IP...

8.7CVSS6.1AI score0.00784EPSS
SaveExploits0References2
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