CVE-2023-29408— Excessive resource consumption in golang.org/x/image/tiff
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I. Basic Information for CVE-2023-29408
Vulnerability Information
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Vulnerability Title
Excessive resource consumption in golang.org/x/image/tiff
Source: NVD (National Vulnerability Database)
Vulnerability Description
The TIFF decoder does not place a limit on the size of compressed tile data. A maliciously-crafted image can exploit this to cause a small image (both in terms of pixel width/height, and encoded size) to make the decoder decode large amounts of compressed data, consuming excessive memory and CPU.
Source: NVD (National Vulnerability Database)
CVSS Information
N/A
Source: NVD (National Vulnerability Database)
Vulnerability Type
N/A
Source: NVD (National Vulnerability Database)
Vulnerability Title
Google Golang 安全漏洞
Source: CNNVD (China National Vulnerability Database)
Vulnerability Description
Google Golang是美国谷歌（Google）公司的一种静态强类型、编译型语言。Go的语法接近C语言，但对于变量的声明有所不同。Go支持垃圾回收功能。Go的并行模型是以东尼·霍尔的通信顺序进程（CSP）为基础，采取类似模型的其他语言包括Occam和Limbo，但它也具有Pi运算的特征，比如通道传输。在1.8版本中开放插件（Plugin）的支持，这意味着现在能从Go中动态加载部分函数。 Google Golang 存在安全漏洞，该漏洞源于TIFF解码器在压缩图块数据的大小上没有设置限制。这可能导致恶意
Source: CNNVD (China National Vulnerability Database)
CVSS Information
N/A
Source: CNNVD (China National Vulnerability Database)
Vulnerability Type
N/A
Source: CNNVD (China National Vulnerability Database)
Affected Products
| Vendor | Product | Affected Versions | CPE | Subscribe |
|---|---|---|---|---|
| golang.org/x/image | golang.org/x/image/tiff | 0 ~ 0.10.0 | - |
II. Public POCs for CVE-2023-29408
| # | POC Description | Source Link | Shenlong Link |
|---|
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IV. Related Vulnerabilities
Same product: golang.org/x/image/tiff
Same vendor: golang.org/x/image
- CVE-2026-33812
Excessive memory allocation when decoding malicious SFNT in - CVE-2026-33813
Panic when decoding large WEBP image on 32-bit platforms in - CVE-2026-33809
OOM from malicious IFD offset in golang.org/x/image/tiff - CVE-2024-24792
Panic when parsing invalid palette-color images in golang.or - CVE-2023-29407
Excessive CPU consumption when decoding 0-height images in g
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