CVE-2026-50757

Directory Traversal vulnerability in DayuanJiang next-ai-draw-io 0.4.13 allowsa remote attacker to execute arbitrary code via the nex-ai-draw-io/mcp-server...

CVE-2026-50756

An issue in DayuanJiang next-ai-draw-io 0.4.13 allows a remote attacker to obtain sensitive information via the x-ai-provider component...

CVE-2026-50755

An issue in DayuanJiang next-ai-draw-io 0.4.13 allows a remote attacker to obtain sensitive information via the X-Forwarded-For header value...

CVE-2026-50758: Improper Neutralization of Input During Web Page Generation

Cross Site Scripting vulnerability in DayuanJiang next-ai-draw-io 0.4.13 allows a remote attacker to execute arbitrary code via the mcp parameter...

CVE-2026-50757: Improper Limitation of a Pathname to a Restricted Directory

Directory Traversal vulnerability in DayuanJiang next-ai-draw-io 0.4.13 allowsa remote attacker to execute arbitrary code via the nex-ai-draw-io/mcp-server...

CVE-2026-50756

An issue in DayuanJiang next-ai-draw-io 0.4.13 allows a remote attacker to obtain sensitive information via the x-ai-provider component...

CVE-2026-50755

An issue in DayuanJiang next-ai-draw-io 0.4.13 allows a remote attacker to obtain sensitive information via the X-Forwarded-For header value...

CVE-2026-50758

Cross Site Scripting vulnerability in DayuanJiang next-ai-draw-io 0.4.13 allows a remote attacker to execute arbitrary code via the mcp parameter...

CVE-2026-50757

Directory Traversal vulnerability in DayuanJiang next-ai-draw-io 0.4.13 allowsa remote attacker to execute arbitrary code via the nex-ai-draw-io/mcp-server...

CVE-2026-50755

An issue in DayuanJiang next-ai-draw-io 0.4.13 allows a remote attacker to obtain sensitive information via the X-Forwarded-For header value...

PT-2026-62081

Name of the Vulnerable Software and Affected Versions DayuanJiang next-ai-draw-io version 0.4.13 Description A remote attacker can obtain sensitive information by manipulating the X-Forwarded-For header value. Recommendations At the moment, there is no information about a newer version that...

CVE-2026-50758

Cross Site Scripting vulnerability in DayuanJiang next-ai-draw-io 0.4.13 allows a remote attacker to execute arbitrary code via the mcp parameter...

CVE-2026-50756: Weak Authentication

An issue in DayuanJiang next-ai-draw-io 0.4.13 allows a remote attacker to obtain sensitive information via the x-ai-provider component...

CVE-2026-50758

Cross Site Scripting vulnerability in DayuanJiang next-ai-draw-io 0.4.13 allows a remote attacker to execute arbitrary code via the mcp parameter...

CVE-2026-50757

Directory Traversal vulnerability in DayuanJiang next-ai-draw-io 0.4.13 allowsa remote attacker to execute arbitrary code via the nex-ai-draw-io/mcp-server...

CVE-2026-50757

Directory Traversal vulnerability in DayuanJiang next-ai-draw-io 0.4.13 allowsa remote attacker to execute arbitrary code via the nex-ai-draw-io/mcp-server...

[SECURITY] Fedora 44 Update: perl-Imager-1.033-1.fc44

Imager is a module for creating and altering images. It can read and write various image formats, draw primitive shapes like lines,and polygons, blend multiple images together in various ways, scale, crop, render text and more...

TensorFlow vulnerable to `CHECK` fail in `DrawBoundingBoxes`

ImpactWhen DrawBoundingBoxes receives an input boxes that is not of dtype float, it gives a CHECK fail that can trigger a denial of service attack.pythonimport tensorflow as tfimport numpy as nparg0=tf.constantvalue=np.random.randomsize=1, 3, 2, 3, shape=1, 3, 2, 3,...

PT-2026-59826

Impact When DrawBoundingBoxes receives an input boxes that is not of dtype float, it gives a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf import numpy as np arg 0=tf.constantvalue=np.random.randomsize=1, 3, 2, 3, shape=1, 3, 2, 3, dtype=tf.half arg...

PT-2026-59960

Impact When DrawBoundingBoxes receives an input boxes that is not of dtype float, it gives a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf import numpy as np arg 0=tf.constantvalue=np.random.randomsize=1, 3, 2, 3, shape=1, 3, 2, 3, dtype=tf.half arg...