
rsa-attack-techniques
RSA attack playbook for CTF and real-world cryptanalysis. Use when given RSA parameters (n, e, c) and need to recover plaintext by exploiting weak keys, small exponents, shared factors, or padding oracles.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/yaklang/hack-skills --skill rsa-attack-techniques- 01
Install
Run the command in your project. The CLI asks which agents to install for.
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Describe the task
Ask your agent for something this skill covers. It loads rsa-attack-techniques automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
SKILL: RSA Attack Techniques — Expert Cryptanalysis Playbook
AI LOAD INSTRUCTION: Expert RSA attack techniques for CTF and authorized security assessments. Covers factorization attacks, small exponent exploits, lattice-based approaches (Wiener/Boneh-Durfee/Coppersmith), broadcast attacks, common modulus, padding oracles, and fault attacks. Base models often suggest attacks that don't match the given parameters or miss the correct attack selection based on what's known.
0. RELATED ROUTING
- lattice-crypto-attacks for deep lattice theory behind Coppersmith/Boneh-Durfee
- hash-attack-techniques when RSA signature forgery involves hash weaknesses
- symmetric-cipher-attacks when RSA protects a symmetric key (hybrid encryption)
Advanced Reference
Also load RSA_ATTACK_CATALOG.md when you need:
- Detailed SageMath/Python implementation for each attack
- Step-by-step mathematical derivation
- Edge cases and failure conditions per attack
Quick attack selection
| Given / Observable | Attack | Tool |
|---|---|---|
| Small n (< 512 bits) | Direct factorization | factordb, yafu, msieve |
| e = 3, small message | Cube root | gmpy2.iroot |
| Multiple (n, c) same small e | Hastad broadcast | CRT + iroot |
| Very large e or very small d | Wiener / Boneh-Durfee | SageMath, RsaCtfTool |
| Partial p knowledge | Coppersmith small roots | SageMath |
| Same n, different e | Common modulus | Extended GCD |
| Multiple n values | Batch GCD (shared factor) | Python/SageMath |
| Padding error oracle | Bleichenbacher | Custom script |
| LSB parity oracle | LSB oracle attack | Custom script |
| Fault in CRT computation | RSA-CRT fault | Single faulty signature |
1. FACTORIZATION ATTACKS
1.1 Direct Factorization (Small n)
from sympy import factorint
n = 0x... # small modulus
factors = factorint(n)
p, q = list(factors.keys())
When: n < ~512 bits, or known to be in factordb.
1.2 Fermat's Factorization
Works when p and q are close together: |p - q| is small.
from gmpy2 import isqrt, is_square
def fermat_factor(n):
a = isqrt(n) + 1
while True:
b2 = a * a - n
if is_square(b2):
b = isqrt(b2)
return (a + b, a - b)
a += 1
1.3 Pollard's p-1
Works when p-1 has only small prime factors (B-smooth).
from gmpy2 import gcd
def pollard_p1(n, B=2**20):
a = 2
for j in range(2, B):
a = pow(a, j, n)
d = gcd(a - 1, n)
if 1 < d < n:
return d
return None
1.4 Batch GCD (Multiple n share a factor)
from math import gcd
from functools import reduce
def batch_gcd(moduli):
"""Find shared factors among multiple RSA moduli."""
product = reduce(lambda a, b: a * b, moduli)
results = {}
for i, n in enumerate(moduli):
remainder = product // n
g = gcd(n, remainder)
if g != 1 and g != n:
results[i] = (g, n // g)
return results
2. SMALL EXPONENT ATTACKS
2.1 Cube Root Attack (e = 3, small m)
If m^e < n (no modular reduction occurred), simply take the e-th root.
from gmpy2 import iroot
c = 0x... # ciphertext
e = 3
m, exact = iroot(c, e)
if exact:
print(f"Plaintext: {bytes.fromhex(hex(m)[2:])}")
2.2 Hastad Broadcast Attack
Same message encrypted with same small e under different moduli (n₁, n₂, ..., nₑ).
from sympy.ntheory.modular import crt
from gmpy2 import iroot
# e = 3, three ciphertexts under three different n
n_list = [n1, n2, n3]
c_list = [c1, c2, c3]
# CRT: find x such that x ≡ ci (mod ni) for all i
r, M = crt(n_list, c_list)
m, exact = iroot(r, 3)
assert exact
2.3 Related Message Attack (Franklin-Reiter)
Two messages related by a known linear function: m₂ = a·m₁ + b. Same n and e.
# SageMath
def franklin_reiter(n, e, c1, c2, a, b):
R.<x> = PolynomialRing(Zmod(n))
f1 = x^e - c1
f2 = (a*x + b)^e - c2
return Integer(n - gcd(f1, f2).coefficients()[0])
3. LARGE e / SMALL d ATTACKS
3.1 Wiener's Attack (Continued Fractions)
When d < n^(1/4) / 3, the continued fraction expansion of e/n reveals d.
def wiener_attack(e, n):
"""Recover d when d is small via continued fractions."""
cf = continued_fraction(e, n)
convergents = get_convergents(cf)
for k, d in convergents:
if k == 0:
continue
phi_candidate = (e * d - 1) // k
# phi(n) = n - p - q + 1 → p + q = n - phi + 1
s = n - phi_candidate + 1
# p, q are roots of x^2 - s*x + n = 0
discriminant = s * s - 4 * n
if discriminant >= 0:
from gmpy2 import isqrt, is_square
if is_square(discriminant):
return d
return None
def continued_fraction(a, b):
cf = []
while b:
cf.append(a // b)
a, b = b, a % b
return cf
def get_convergents(cf):
convergents = []
h_prev, h_curr = 0, 1
k_prev, k_curr = 1, 0
for a in cf:
h_prev, h_curr = h_curr, a * h_curr + h_prev
k_prev, k_curr = k_curr, a * k_curr + k_prev
convergents.append((h_curr, k_curr))
return convergents
3.2 Boneh-Durfee Attack (Lattice-Based)
Extends Wiener: works when d < n^0.292. Uses lattice reduction (LLL/BKZ).
Use SageMath implementation — see lattice-crypto-attacks for theory.
4. COPPERSMITH'S METHOD
4.1 Stereotyped Message
Known portion of plaintext, unknown part is small.
# SageMath
n = ...
e = 3
c = ...
known_prefix = b"flag{" + b"\x00" * 27 # known prefix, unknown suffix
known_int = int.from_bytes(known_prefix, 'big')
R.<x> = PolynomialRing(Zmod(n))
f = (known_int + x)^e - c
roots = f.small_roots(X=2^(27*8), beta=1.0)
if roots:
m = known_int + int(roots[0])
print(bytes.fromhex(hex(m)[2:]))
4.2 Partial Key Exposure
Known MSB or LSB of p → recover full p via Coppersmith.
# SageMath — known MSB of p
p_msb = ... # known upper bits of p
R.<x> = PolynomialRing(Zmod(n))
f = p_msb + x
roots = f.small_roots(X=2^unknown_bits, beta=0.5)
if roots:
p = p_msb + int(roots[0])
q = n // p
5. COMMON MODULUS ATTACK
Two ciphertexts of same message under same n but different e₁, e₂ where gcd(e₁, e₂) = 1.
from gmpy2 import gcd, invert
def common_modulus(n, e1, e2, c1, c2):
"""Recover m when same message encrypted with two different e under same n."""
assert gcd(e1, e2) == 1
_, s1, s2 = extended_gcd(e1, e2) # s1*e1 + s2*e2 = 1
if s1 < 0:
c1 = invert(c1, n)
s1 = -s1
if s2 < 0:
c2 = invert(c2, n)
s2 = -s2
m = (pow(c1, s1, n) * pow(c2, s2, n)) % n
return m
def extended_gcd(a, b):
if a == 0:
return b, 0, 1
g, x, y = extended_gcd(b % a, a)
return g, y - (b // a) * x, x
6. ORACLE ATTACKS
6.1 LSB Oracle (Parity Oracle)
An oracle reveals whether decrypted message is even or odd.
from gmpy2 import mpz
def lsb_oracle_attack(n, e, c, oracle_func):
"""Decrypt using LSB (parity) oracle. oracle_func(c) returns m%2."""
from fractions import Fraction
lo, hi = Fraction(0), Fraction(n)
for _ in range(n.bit_length()):
c = (c * pow(2, e, n)) % n # multiply plaintext by 2
if oracle_func(c) == 0:
hi = (lo + hi) / 2
else:
lo = (lo + hi) / 2
return int(hi)
6.2 Bleichenbacher (PKCS#1 v1.5 Padding Oracle)
Given a padding validity oracle (valid/invalid PKCS#1 v1.5), iteratively narrow down the plaintext range.
Complexity: O(2^16) oracle queries per byte on average.
Target: TLS implementations returning different errors for valid/invalid padding.
6.3 Manger's Attack (PKCS#1 OAEP)
Similar to Bleichenbacher but for OAEP padding. Exploits oracle that distinguishes whether the first byte after unpadding is 0x00.
7. RSA-CRT FAULT ATTACK
If RSA-CRT signing produces a faulty signature (fault in one CRT half):
def rsa_crt_fault(n, e, correct_sig, faulty_sig, msg):
"""Factor n from one correct and one faulty CRT signature."""
from math import gcd
diff = pow(correct_sig, e, n) - pow(faulty_sig, e, n)
p = gcd(diff % n, n)
if 1 < p < n:
q = n // p
return p, q
return None
# Even simpler: only faulty signature needed if message is known
def rsa_crt_fault_simple(n, e, faulty_sig, msg):
p = gcd(pow(faulty_sig, e, n) - msg, n)
if 1 < p < n:
return p, n // p
return None
8. DECISION TREE
RSA challenge — what information do you have?
│
├─ Have n and it's small (< 512 bits)?
│ └─ Factor directly: factordb.com → yafu → msieve
│
├─ Have multiple n values?
│ └─ Batch GCD — shared factors?
│ ├─ Yes → factor all that share factors
│ └─ No → analyze each n individually
│
├─ Know e?
│ ├─ e = 3 (or small)?
│ │ ├─ Single ciphertext, small message → cube root
│ │ ├─ Multiple ciphertexts, different n → Hastad broadcast
│ │ ├─ Two related messages → Franklin-Reiter
│ │ └─ Partial plaintext known → Coppersmith
│ │
│ ├─ e is very large?
│ │ └─ d is likely small → Wiener → Boneh-Durfee
│ │
│ └─ Same n, two different e values?
│ └─ Common modulus attack (Bezout coefficients)
│
├─ Know partial factorization info?
│ ├─ Know some bits of p → Coppersmith partial key
│ ├─ p-1 is B-smooth → Pollard p-1
│ └─ p ≈ q (close primes) → Fermat factorization
│
├─ Have an oracle?
│ ├─ Parity oracle (LSB) → LSB oracle attack
│ ├─ Padding validity oracle (PKCS#1 v1.5) → Bleichenbacher
│ └─ OAEP oracle → Manger's attack
│
├─ Have faulty signature?
│ └─ RSA-CRT fault → factor n from faulty sig
│
├─ Know e·d relationship?
│ └─ e·d ≡ 1 mod φ(n) → factor n from (e,d,n)
│
└─ None of the above?
├─ Check factordb for known factorization
├─ Try Pollard rho for medium-size n
├─ Look for implementation flaws (weak PRNG for key generation)
└─ Consider side-channel if physical access available
9. TOOLS
| Tool | Purpose | Usage |
|---|---|---|
| RsaCtfTool | Automated RSA attack suite | python3 RsaCtfTool.py --publickey pub.pem --uncipherfile flag.enc |
| SageMath | Mathematical computation | Coppersmith, lattice attacks, polynomial arithmetic |
| factordb.com | Online factor database | Check if n is already factored |
| yafu | Fast factorization (SIQS/GNFS) | yafu "factor(n)" |
| msieve | GNFS factorization | Large n factorization |
| gmpy2 | Fast Python integer library | iroot, invert, gcd |
| pycryptodome | RSA primitives | Key construction from factors |
RsaCtfTool Quick Commands
# From public key
python3 RsaCtfTool.py --publickey pub.pem -n --private
# From parameters
python3 RsaCtfTool.py -n $N -e $E --uncipher $C
# Try all attacks
python3 RsaCtfTool.py --publickey pub.pem --uncipherfile flag.enc --attack all
Decrypt After Factoring
from Crypto.PublicKey import RSA
from gmpy2 import invert
p, q = ... # factored
n = p * q
e = 65537
phi = (p - 1) * (q - 1)
d = int(invert(e, phi))
c = ... # ciphertext as integer
m = pow(c, d, n)
plaintext = m.to_bytes((m.bit_length() + 7) // 8, 'big')
print(plaintext)
FAQ
What does the rsa-attack-techniques skill do?
RSA attack playbook for CTF and real-world cryptanalysis. Use when given RSA parameters (n, e, c) and need to recover plaintext by exploiting weak keys, small exponents, shared factors, or padding oracles.
How do I install rsa-attack-techniques?
Run npx skills add https://github.com/yaklang/hack-skills --skill rsa-attack-techniques in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/rsa-attack-techniques/ (personal) or .claude/skills/rsa-attack-techniques/ (project).
Which AI agents can use rsa-attack-techniques?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is rsa-attack-techniques safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains rsa-attack-techniques?
It is published by yaklang in yaklang/hack-skills. It has 3,539 recorded installs.
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