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EUVD
EUVD
added 2025/12/30 3:18 p.m.1 views

EUVD-2025-205782

Picklescan is vulnerable to RCE via missing detection when calling numpy.f2py.crackfortran.getlincoef...

6.4AI score
Exploits0References5
OSV
OSV
added 2025/12/30 3:18 p.m.1 views

GHSA-RRXM-2PVV-M66X Picklescan is vulnerable to RCE via missing detection when calling numpy.f2py.crackfortran.getlincoef

Summary Picklescan uses the numpy.f2py.crackfortran.getlincoef function a NumPy F2PY helper to execute arbitrary Python code during unpickling. Details Picklescan fails to detect a malicious pickle that uses the gadget numpy.f2py.crackfortran.getlincoef in reduce, allowing arbitrary command...

9.2CVSS7.8AI score
Exploits0References5
Github Security Blog
Github Security Blog
added 2025/12/29 10:44 p.m.5 views

Picklescan is vulnerable to RCE via missing detection when calling numpy.f2py.crackfortran.param_eval

Summary Picklescan uses numpy.f2py.crackfortran.parameval, which is a function in numpy to execute remote pickle files. Details The attack payload executes in the following steps: - First, the attacker crafts the payload by calling the numpy.f2py.crackfortran.parameval function via reduce method....

7.9AI score
Exploits0References5Affected Software1
Snyk
Snyk
added 2025/12/29 10:44 p.m.0 views

Deserialization of Untrusted Data

Overview picklescan is a Security scanner detecting Python Pickle files performing suspicious actions Affected versions of this package are vulnerable to Deserialization of Untrusted Data via using the numpy.f2py.crackfortran.parameval function. An attacker can execute arbitrary code by crafting ...

8.4CVSS7.7AI score
Exploits0References3
EUVD
EUVD
added 2025/12/29 10:44 p.m.1 views

EUVD-2025-205659

Picklescan is vulnerable to RCE via missing detection when calling numpy.f2py.crackfortran.parameval...

6.4AI score
Exploits0References5
OSV
OSV
added 2025/12/29 8:4 p.m.1 views

GHSA-3329-GHMP-JMV5 Picklescan is vulnerable to RCE through missing detection when calling numpy.f2py.crackfortran.myeval

Summary Picklescan uses numpy.f2py.crackfortran.myeval, which is a function in numpy to execute remote pickle files. Details The attack payload executes in the following steps: - First, the attacker crafts the payload by calling the numpy.f2py.crackfortran.myeval function in its reduce method -...

8.7CVSS7.7AI score
Exploits0References4
Snyk
Snyk
added 2025/12/29 8:4 p.m.1 views

Deserialization of Untrusted Data

Overview picklescan is a Security scanner detecting Python Pickle files performing suspicious actions Affected versions of this package are vulnerable to Deserialization of Untrusted Data due to using the numpy.f2py.crackfortran.myeval function, which executes a remote pickle file. An attacker ca...

8.4CVSS7.7AI score
Exploits0References3
EUVD
EUVD
added 2025/12/29 8:4 p.m.3 views

EUVD-2025-205638

Picklescan is vulnerable to RCE through missing detection when calling numpy.f2py.crackfortran.myeval...

6.4AI score
Exploits0References4
Github Security Blog
Github Security Blog
added 2025/12/29 8:4 p.m.3 views

Picklescan is vulnerable to RCE through missing detection when calling numpy.f2py.crackfortran.myeval

Summary Picklescan uses numpy.f2py.crackfortran.myeval, which is a function in numpy to execute remote pickle files. Details The attack payload executes in the following steps: - First, the attacker crafts the payload by calling the numpy.f2py.crackfortran.myeval function in its reduce method -...

7.9AI score
Exploits0References4Affected Software1
OSV
OSV
added 2025/12/29 3:27 p.m.1 views

GHSA-R8G5-CGF2-4M4M Picklescan missing detection when calling numpy.f2py.crackfortran.getlincoef

Summary An unsafe deserialization vulnerability allows an attacker to execute arbitrary code on the host when loading a malicious pickle payload from an untrusted source. Details The numpy.f2py.crackfortran module exposes many functions that call eval on arbitrary strings of values. This is the...

9.3CVSS7.7AI score
Exploits0References5
Github Security Blog
Github Security Blog
added 2025/12/29 3:27 p.m.4 views

Picklescan missing detection when calling numpy.f2py.crackfortran.getlincoef

Summary An unsafe deserialization vulnerability allows an attacker to execute arbitrary code on the host when loading a malicious pickle payload from an untrusted source. Details The numpy.f2py.crackfortran module exposes many functions that call eval on arbitrary strings of values. This is the...

7.8AI score
Exploits0References5Affected Software1
EUVD
EUVD
added 2025/12/29 3:27 p.m.1 views

EUVD-2025-205587

Picklescan missing detection when calling numpy.f2py.crackfortran.getlincoef...

6.4AI score
Exploits0References5
Oracle linux
Oracle linux
added 2025/12/23 12:0 a.m.9 views

python39:3.9 security update

modwsgi numpy python39 3.9.25-2 - Add explicit BR: libxcrypt-devel - Properly apply exported CFLAGS for dtrace/systemtap builds - Update to Python 3.9.25 - Move sysconfigdatadlinux.py to the debug subpackage - Fedora contributions by: Bjorn Esser Charalampos Stratakis Karolina Surma Tomas Orsava...

9.4CVSS6.8AI score0.01639EPSS
Exploits15
Veracode
Veracode
added 2025/12/13 7:48 a.m.5 views

Heap-based Buffer Overflow

MLX is vulnerable to Heap-based Buffer Overflow. The vulnerability is due to a 13-byte out-of-bounds read when parsing malicious NumPy .npy files, where an attacker-controlled file causes a crash or information disclosure, and attackers can exploit this by crafting malicious .npy files to gain...

9.1CVSS5.8AI score0.00089EPSS
Exploits1References5Affected Software1
PyPA
PyPA
added 2025/11/21 7:16 p.m.5 views

PYSEC-2025-138

MLX is an array framework for machine learning on Apple silicon. Prior to version 0.29.4, there is a heap buffer overflow in mlx::core::load when parsing malicious NumPy .npy files. Attacker-controlled file causes 13-byte out-of-bounds read, leading to crash or information disclosure. This issue...

9.1CVSS5.9AI score0.00089EPSS
Exploits1References3Affected Software1
NVD
NVD
added 2025/11/21 7:16 p.m.3 views

CVE-2025-62608

MLX is an array framework for machine learning on Apple silicon. Prior to version 0.29.4, there is a heap buffer overflow in mlx::core::load when parsing malicious NumPy .npy files. Attacker-controlled file causes 13-byte out-of-bounds read, leading to crash or information disclosure. This issue...

9.1CVSS0.00089EPSS
Exploits1References3
Vulnrichment
Vulnrichment
added 2025/11/21 6:56 p.m.2 views

CVE-2025-62608 MLX has heap-buffer-overflow in load()

MLX is an array framework for machine learning on Apple silicon. Prior to version 0.29.4, there is a heap buffer overflow in mlx::core::load when parsing malicious NumPy .npy files. Attacker-controlled file causes 13-byte out-of-bounds read, leading to crash or information disclosure. This issue...

6.9CVSS6.5AI score0.00089EPSS
Exploits1References3
Cvelist
Cvelist
added 2025/11/21 6:56 p.m.8 views

CVE-2025-62608 MLX has heap-buffer-overflow in load()

MLX is an array framework for machine learning on Apple silicon. Prior to version 0.29.4, there is a heap buffer overflow in mlx::core::load when parsing malicious NumPy .npy files. Attacker-controlled file causes 13-byte out-of-bounds read, leading to crash or information disclosure. This issue...

6.9CVSS0.00089EPSS
Exploits1References3
CVE
CVE
added 2025/11/21 6:56 p.m.14 views

CVE-2025-62608

MLX vulnerable to a heap-buffer-overflow in mlx::core::load() when parsing malicious NumPy .npy files. Prior to version 0.29.4, attacker-controlled files can trigger a 13-byte out-of-bounds read, leading to crash or information disclosure. The issue is fixed in version 0.29.4. Affected platforms:...

9.1CVSS6.5AI score0.00089EPSS
Exploits1References3Affected Software1
OSV
OSV
added 2025/11/21 6:56 p.m.2 views

CVE-2025-62608 MLX has heap-buffer-overflow in load()

MLX is an array framework for machine learning on Apple silicon. Prior to version 0.29.4, there is a heap buffer overflow in mlx::core::load when parsing malicious NumPy .npy files. Attacker-controlled file causes 13-byte out-of-bounds read, leading to crash or information disclosure. This issue...

6.9CVSS6.9AI score0.00089EPSS
Exploits1References5
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