Hacking Articles Tips Tricks Videos Tutorials
467 subscribers
65.7K photos
15 videos
157 files
132K links
Exploit
Pentesting
Hacking
Red Team
Blue Team
Kali Linux
Bug Bounty
Black Hat
Cyber security etc

@Hacking_Video
@Hacking_attack
Download Telegram
hacking: security in practice
Hacking into snap?

Trying to hack into someone’s snap. Any help would be greatly appreciated 🙋🏻‍♂️

submitted by /u/flrs7
[link] [comments]

___________________________
@hacking_Attack
@Hacking_Video
hacking: security in practice
What are the steps you take when cracking a hash?

I found a hash in a response header online, which I am positive is a MD5 hash. It’s labeled « X-MD5-Hash » on the website, hash-identifier and hashid see it as MD5, everyone sees it as MD5. My problem is that I ran it against an 84 billion dictionary without success - now it’s possible the password is something else entirely, but I doubt it very deeply considering the huge list I used.

Regardless of my beliefs, what do you guys usually do when cracking hashes you can’t find? What should be the next step for me?

submitted by /u/BioFrosted
[link] [comments]

___________________________
@hacking_Attack
@Hacking_Video
All your files belongs to Me (An IDOR Story)

This is small story about IDOR bug in private bug bounty program, I do bug bounties as a hobby in my free time and this lead to an…Continue reading on Medium »
Read more...
Hacking Articles Tips Tricks Videos Tutorials
Photo
KitPloit - PenTest Tools!
Regexploit - Find Regular Expressions Which Are Vulnerable To ReDoS (Regular Expression Denial Of Service)

https://1.bp.blogspot.com/-UjWm8eord38/YO93rWcho5I/AAAAAAAAjQ0/Xwl7ZZuO-SUdvH7ODpTuRdsNolgYLWpowCNcBGAsYHQ/w640-h126/regexploit_1.png Find regexes which are vulnerable to Regular Expression Denial of Service (ReDoS).

More info on the Doyensec blog

Many default regular expression parsers have unbounded worst-case complexity. Regex matching may be quick when presented with a matching input string. However, certain non-matching input strings can make the regular expression matcher go into crazy backtracking loops and take ages to process. This can cause denial of service, as the CPU will be stuck trying to match the regex.

This tool is designed to:

* find regular expressions which are vulnerable to ReDoS
* give an example malicious string which will cause catastrophic backtracking Worst-case complexityThis reflects the complexity of the regular expression matcher's backtracking procedure with respect to the length of the entered string.

Cubic complexity here means that if the vulnerable part of the string is doubled in length, the execution time should be about 8 times longer (2^3). For exponential ReDoS with starred stars e.g. (a*)*$a fudge factor is used and the complexity will be greater than 10.

For explotability, cubic complexity or higher is typically required unless truly giant strings are allowed as input. ExampleRun regexploitand enter the regular expression v\w*_\w*_\w*$at the command line. $ regexploit
v\w*_\w*_\w*$
Pattern: v\w*_\w*_\w*$
---
Worst-case complexity: 3 (cubic)
Repeated character: [5f:_]
Final character to cause backtracking: [^WORD]
Example: 'v' + '_' * 3456 + '!'
The part \w*_\w*_\w*contains three overlapping repeating groups (\w matches letters, digits and underscores). As showed in the line Repeated character: [5f:_], a long string of _(0x5f) will match this section in many different ways. The worst-case complexity is 3 as there are 3 infinitely repeating groups. An example to cause ReDoS is given: it consists of the required prefix v, a long string of _and then a !(non-word character) to cause backtracking. Not all ReDoSes require a particular character at the end, but in this case, a long string of _will match the regex successfully and won't backtrack. The line Final character to cause backtracking: [^WORD]shows that a non-matching character (not a word character) is required at the end to prevent matching and cause ReDoS.

As another example, install a module version vulnerable to ReDoS such as pip install ua-parser==0.9.0. To scan the installed python modules run regexploit-python-env. Importing ua_parser.user_agent_parser
Vulnerable regex in /somewhere/.env/lib/python3.9/site-packages/ua_parser/user_agent_parser.py #183
Pattern: \bSmartWatch *\( *([^;]+) *; *([^;]+) *;
Context: self.user_agent_re = re.compile(self.pattern)
---
Worst-case complexity: 3
Repeated character: [20]
Example: 'SmartWatch(' + ' ' * 3456

Worst-case complexity: 3
Repeated character: [20]
Example: 'SmartWatch(0;' + ' ' * 3456

Vulnerable regex in /somewhere/.env/lib/python3.9/site-packages/ua_parser/user_agent_parser.py #183
Pattern: ; *([^;/]+) Build[/ ]Huawei(MT1-U06|[A-Z]+\d+[^\);]+)[^\);]*\)
Context: self.user_agent_re = re.compile(self.pattern)
---
Worst-case complexity: 3
Repeated character: [[0-9]]
Example: ';0 Build/HuaweiA' + '0' * 3456
...
For each vulnerable regular expression it prints one or more malicious string to trigger ReDoS. Setting your user agent to ;0 Build/HuaweiA000000000000000...[...]

___________________________
@hacking_Attack
@Hacking_Video
Hacking Articles Tips Tricks Videos Tutorials
KitPloit - PenTest Tools! Regexploit - Find Regular Expressions Which Are Vulnerable To ReDoS (Regular Expression Denial Of Service) https://1.bp.blogspot.com/-UjWm8eord38/YO93rWcho5I/AAAAAAAAjQ0/Xwl7ZZuO-SUdvH7ODpTuRdsNolgYLWpowCNcBGAsYHQ/w640-h126/regexploit_1.png…
and browsing a website using an old version of ua-parser may cause the server to take a long time to process your request, probably ending in status 502. InstallationPython 3.8+ is required. To extract regexes from JavaScript / TypeScript code, NodeJS 12+ is also required.

Optionally make a virtual environment python3 -m venv .env
source .env/bin/activate
Now actually install with pip pip install regexploit UsageRegexploit with a list of regexesEnter regular expressions via stdin (one per line) into regexploit. regexploitor via a file cat myregexes.txt | regexploitExtract regexes automaticallyThere is built-in support for parsing regexes out of Python, JavaScript, TypeScript, C#, YAML and JSON. Python codeParses Python code (without executing it) via the AST to find regexes. The regexes are then analysed for ReDoS. regexploit-py my-project/
regexploit-py "my-project/**/*.py" --glob
Javascript / TypescriptThis will use the bundled NodeJS package in regexploit/bin/javascriptwhich parses your JavaScript as an AST with eslint and prints out all regexes.

Those regexes are fed into the python ReDoS finder. regexploit-js my-module/my-file.js another/file.js some/folder/
regexploit-js "my-project/node_modules/**/*.js" --glob
N.B. there are differences between javascript and python regex parsing so there may be some errors. I'm not sure I want to write a JS regex AST! Python importsSearch for regexes in all the python modules currently installed in your path / env. This means you can pip installwhatever modules you are interested in and they will be analysed. Cpython code is included. regexploit-python-envN.B. this doesn't parse the python code to an AST and will only find regexes compiled automatically on module import. Modules are actually imported, so code in the modules will be executed. This is helpful for finding regexes which are built up from smaller strings on load e.g. CVE-2021-25292 in Pillow JSON / YAMLYaml support requires pyyaml, which can be installed with pip install regexploit[yaml]. regexploit-json *.json
regexploit-yaml *.yaml
C# (.NET)regexploit-csharp something.csBugs reported* CVE-2020-5243: uap-core affecting uap-python, uap-ruby, etc. (User-Agent header parsing)
* CVE-2020-8492: cpython's urllib.request (WWW-Authenticate header parsing)
* CVE-2021-21236: CairoSVG (SVG parsing)
* CVE-2021-21240: httplib2 (WWW-Authenticate header parsing)
* CVE-2021-25292: python-pillow (PDF parsing)
* CVE-2021-26813: python-markdown2 (Markdown parsing)
* CVE-2021-27290: npm/ssri (SRI parsing)
* CVE-2021-27291: pygments lexers for ADL, CADL, Ceylon, Evoque, Factor, Logos, Matlab, Octave, ODIN, Scilab & Varnish VCL (Syntax highlighting)
* CVE-2021-27292: ua-parser-js (User-Agent header parsing)
* CVE-2021-27293: RestSharp (JSON deserialisation in a .NET C# package)
* bpo-38804: cpython's http.cookiejar (Set-Cookie header parsing)
* SimpleCrawler (archived) (HTML parsing)
* CVE-2021-28092: is-svg (SVG parsing)
* nuget.org, NuGetGallery and NuGet.Client (Parsing NuGet package IDs)
* markdown (python) (Markdown parsing)
* ansi-html (nodejs) (ANSI parsing)
* Plus unpublished bugs in a handful of pypi, npm, ruby and nuget packages CreditsThis tool has been created by Ben Caller of Doyensec LLC during research time. https://camo.githubusercontent.com/604dfb1a1bfac98d0048f363e0e6d65bd88b4fdbd57f5b001a8f76ea580c1097/68747470733a2f2f646f79656e7365632e636f6d2f696d616765732f6c6f676f2e737667 Download Regexploit

___________________________
@hacking_Attack
@Hacking_Video
Breaking Application’s Logic to DOS Attack

Hey guys, Recently I had found a bug which was fine enough to deserve this post. So, I thought of writing it up here. I can not disclose…Continue reading on Medium »
Read more...